Distributed Systems (p2p, grid, sensor networks etc) Bibliography

[1] A. Agostini and G. Moro. Identification of communities of peers by trust and reputation. In Proceedings of AIMSA'04, volume 3192 of Lecture Notes in Computer Science, pages 85-95, September 2004.
[ bib | http://sra.itc.it/people/agostini/DB-research/tr02-04.ps ]
[2] Ali Shaikh Ali and Ian J. Taylor. Web services composition for distributed data mining. In Proceedings of the 2005 International Conference on Parallel Processing Workshops (ICPPW'05), Washington DC, 2005.
[ bib | http://ieeexplore.ieee.org/iel5/9965/32020/01488672.pdf ]
[3] Kamal Ali and Wijnand Van Stam. TiVo: Making Show Recommendations Using a Distributed Collaborative Filtering Architecture. In Proceedings of The Tenth ACM SIGKDD Conference (KDD'04), Seattle, WA, August 2004.
[ bib | http://www.livejournal.com/community/tivolovers/131667.html ]
[4] B. Arai, S. Lin, and D. Gunopulos. Efficient Data Sampling in Heterogeneous Peer-to-Peer Networks. In Proceedings of the IEEE International Conference on Data Mining (ICDM '07), pages 23-32, Omaha, NE, 2007.
[ bib | ftp://ftp.computer.org/press/outgoing/proceedings/icdm07/Data/3018a023.pdf ]
[5] Benjamin Arai, Gautam Das, Dimitrios Gunopulos, and Vana Kalogeraki. Approximating aggregations in peer-to-peer databases. In Proceedings of the twenty-second International Conference on Data Engineering (ICDE 2006), Atlanta, Georgia, April 2006.
[ bib | http://ieeexplore.ieee.org/iel5/10757/33902/01617410.pdf?isnumber=33902&arnumber=1617410 ]
[6] M. Z. Ashrafi, D. Taniar, and K. A. Smith. A Data Mining Architecture for Distributed Environments. IICS 2002, pages 27-38, 2002.
[ bib | http://springerlink.metapress.com/media/92XDVLURUG2UM4VXJYWV/Contributions/V/5/2/H/V52HW98XYF94FM7X.pdf ]
[7] Asad Awan, Ronaldo A. Ferreira, Suresh Jagannathan, and Ananth Grama. Distributed uniform sampling in unstructured peer-to-peer networks. In Proceedings of the 39th Annual Hawaii International Conference on System Sciences, volume 9, page 223.3, January 2006.
[ bib | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1579749 ]
[8] W.-T. Balke, W. Nejdl, W. Siberski, and U. Thaden. DL meets P2P - Distributed Document Retrieval based on Classification and Content. In European Conference on Digital Libraries (ECDL), Vienna, Austria, 2005.
[ bib | http://www.kbs.uni-hannover.de/Arbeiten/Publikationen/2005/p2pdl-ecdl2005.pdf ]
[9] W.-T. Balke, W. Nejdl, W. Siberski, and U. Thaden. Progressive Distributed Top k Retrieval in Peer-to-Peer Networks. In Proceedings of the 21st International Conference on Data Engineering (ICDE'05), Tokyo, Japan, April 2005.
[ bib | http://www.kbs.uni-hannover.de/Arbeiten/Publikationen/2004/topk_icde2005.pdf ]
[10] Wolf-Tilo Balke, Wolfgang Nejdl, Wolf Siberski, and Uwe Thaden. Progressive distributed top-k retrieval in peer-to-peer networks. In The 21st International Conference on Data Engineering (ICDE 2005), Tokyo, Japan, April 2005.
[ bib | http://www.kbs.uni-hannover.de/Arbeiten/Publikationen/2004/topk_icde2005.pdf ]
[11] S. Banyopadhyay, C. Giannella, U. Maulik, H. Kargupta, S. Datta, and K. Liu. Clustering distributed data streams in peer-to-peer environments. Information Science, 176(14):1952-1985, 2006.
[ bib | http://www.cs.umbc.edu/~hillol/PUBS/p2pDM.pdf ]
[12] Mayank Bawa, Aristides Gionis, Hector Garcia-Molina, and Rajeev Motwani. The price of validity in dynamic networks. In Proceedings of the 2004 ACM SIGMOD international conference on Management of data, Paris, France, 2004.
[ bib | http://infolab.stanford.edu/~bawa/Pub/validity.ps ]
[13] R. Bhargava, H. Kargupta, and M. Powers. Energy Consumption in Data Analysis for On-board and Distributed Applications. In Proceedings of the 2003 International Conference on Machine Learning workshop on Machine Learning Technologies for Autonomous Space Applications, 2003.
[ bib | http://www.cs.umbc.edu/~hillol/PUBS/icmlws03.pdf ]
[14] A. Bhattacharya, A. Meka, and A. Singh. MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models. In Proceedings of the 33rd Very Large Data Bases Conference (VLDB '07), pages 854-865, New York, NY, 2007.
[ bib | http://www.vldb.org/conf/2007/papers/research/p854-bhattacharya.pdf ]
[15] Yitzhak Birk, Idit Keidar, Liran Liss, Assaf Schuster, and Ran Wolff. Veracity radius - capturing the locality of distributed computations. In Proceedings of the 25th ACM Symposium on Principles of Distributed Computing (PODC '06), pages 102-111, July 2006.
[ bib | http://www.ee.technion.ac.il/~idish/Abstracts/VeracityRadius.html ]
[16] M. Bonifacio, P. Bouquet, G. Mameli, and M. Nori. Peer-mediated distributed knowledge management. In Agent-Mediated Knowledge Management: International Symposium (AMKM'03), Stanford, CA, March 2003.
[ bib | http://eprints.biblio.unitn.it/archive/00000426/01/032.pdf ]
[17] J. Branch, B. Szymanski, R. Wolff, C. Gianella, and H. Kargupta. In-network outlier detection in wireless sensor networks. In Proceedings of the 26th International Conference on Distributed Computing Systems (ICDCS), pages 102-111, July 2006.
[ bib | http://mis.haifa.ac.il/~rwolff/papers/wolff06icdcs.pdf ]
[18] M. Burl, C. Fowlkes, J. Roden, A. Stechert, and S. Mukhtar. Diamond Eye: A distributed architecture for image data mining. In SPIE Thirteenth International Symposium. on Aerospace/Defence Sensing, Simulation, and Controls, 1999.
[ bib | http://citeseer.ist.psu.edu/burl99diamond.html ]
[19] D. Cai, M. F. McTear, and S.I. McClean. Knowledge discovery in distributed databases using evidence theory. International Journal of Intelligent Systems, 15(8):745-761, 2000.
[ bib | ]
[20] J. Calmet, S. Jekutsch, P. Kullmann, and J. Schü. KOMET - A System for the Integration of Heterogeneous Information Sources. In International Syposium on Methodologies for Intelligent Systems, pages 318-327, 1997.
[ bib | http://iaks-www.ira.uka.de/iaks-calmet/abstracts/ismis-97-abstract.html ]
[21] M. Cannataro, A. Congiusta, C. Mastroianni, A. Pugliese, D. Talia, and P. Trunfio. Grid-Based Data Mining and Knowledge Discovery, chapter 2, pages 19-45. Intelligent Technologies for Information Analysis. Springer-Verlag, 2004.
[ bib ]
[22] M. Cannataro, A. Congiusta, A. Pugliese, D. Talia, and P. Trunfio. Distributed data mining on grids: Services, tools, and applications. IEEE Transactions on Systems, Man, Cybernetics, Part B, 34(6), 2004.
[ bib ]
[23] M. Cannataro, A. Congiusta, D. Talia, and P. Trunfio. A Data Mining Toolset for Distributed High-Performance Platforms. In Proceedings of Data Mining 2002, Bologna, Italy, 2002. Wessex Institute Press.
[ bib | http://www.icar.cnr.it/kgrid/pubs/WessDataMining02.pdf ]
[24] M. Cannataro and D. Talia. The Knowledge Grid. Communications of the ACM, 46(1):89-93, January 2003.
[ bib | http://portal.acm.org/citation.cfm?doid=602421.602425 ]
[25] M. Cannataro, D. Talia, and P. Trunfio. KNOWLEDGE GRID: High Performance Knowledge Discovery on the Grid. GRID 2001, pages 38-50, 2001.
[ bib | http://www.icar.cnr.it/kgrid/pubs/grid2001.pdf ]
[26] Mario Cannataro, Domenico Talia, and Paolo Trunfio. Distributed data mining on the grid. Grid computing: Towards a new computing infrastructure, 18(8):1101-1112, 2002.
[ bib | ]
[27] D. Caragea, J. Reinoso, A. Silvescu, and V. Honavar. Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. In International Workshop on Information Integration on the Web, IJCAI 2003. AAAI, Acapulco, Mexico, 2003.
[ bib | http://www.cs.iastate.edu/%7Edcaragea/papers/caragea-aaai-workshop-2003.pdf ]
[28] D. Caragea, A. Silvescu, and V. Honavar. Towards a Theoretical Framework for Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources. In Emerging Neural Architectures Based on Neuroscience, pages 547-559. Springer-Verlag, 2001.
[ bib | http://www.cs.iastate.edu/~honavar/Papers/caragea01.pdf ]
[29] Doina Caragea, Adrian Silvescu, and Vasant Honavar. Decision Tree Induction from Distributed Data Sources. In Proceedings of the Conference on Intelligent Systems Design and Applications, Tulsa, Oklahoma, 2003.
[ bib | ]
[30] S. Castano and S. Montanelli. Semantic self-formation of communities of peers. In Proceedings of the ESWC Workshop on Ontologies in Peer-to-Peer Communities, Heraklion, Greece, May 2005.
[ bib | http://www.kde.cs.uni-kassel.de/ws/ontop2p2005/proceedings/castano.pdf ]
[31] R. J. Cavanaugh. Sphinx: A Scheduling Middleware for Data Intensive Applications on a Grid. In Workshop on Data Mining and Exploration Middleware for Distributed and Grid Computing, Minneapolis, MN, September 2003.
[ bib | http://www.eecs.umich.edu/~ppadala/research/sphinx/ ]
[32] J. Chattratichat, J. Darlington, Y. Guo, S. Hedvall, M. Koler, and J. Syed. An Architecture for Distributed Enterprise Data Mining. In High Performance Computing Networking, pages 573-582, Amsterdam, Netherlands, 1999.
[ bib | http://portal.acm.org/citation.cfm?id=660338 ]
[33] A. Chervenak, I. Foster, C. Kesselman, C. Salisbury, and S. Tuecke. The Data Grid: Towards an Architecture For the Distributed Management and Analysis of Large Scientific Datasets, 1999.
[ bib | http://citeseer.nj.nec.com/chervenak99data.html ]
[34] V. Cholvi, P. Felber, and E. Biersack. Efficient Search in Unstructured Peer-to-Peer Networks. In Proceedings of the Sixteenth Annual ACM Symposium on Parallelism in Algorithms and Architectures, pages 271-272, Barcelona, Spain, 2004.
[ bib | http://doi.acm.org/10.1145/1007912.1007955 ]
[35] Laurence Cholvy and Christophe Garion. Answering Queries Addressed to Several Databases According to a Majority Merging Approach. Journal of Intelligent Information Systems, 22:175-201, March 2004.
[ bib | http://portal.acm.org/citation.cfm?id=965870 ]
[36] A. Choudhary, M. Kandemir, J. No, G. Memik, X. Shen, W. Liao, H. Nagesh, S. More, V. Taylor, R. Thakur, and R. Stevens. Data Management for Large-Scale Scientific Computations in High Performance Distributed Systems. Cluster Computing: the Journal of Networks, Software Tools and Applications, 3(1):45-60, 2000.
[ bib | http://citeseer.ist.psu.edu/choudhary99data.html ]
[37] A. Congiusta, D. Talia, and P. Trunfio. Parallel and Grid-Based Data Mining, chapter 1, pages 1-25. n Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers. Spinger Verlag, 2005.
[ bib ]
[38] C. Cooper, M. Dyer, and C. Greenhill. Sampling Regular Graphs and a Peer-to-Peer Network. In Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA'05), pages 980-988, Vancouver, British Columbia, 2005. Society for Industrial and Applied Mathematics.
[ bib | http://www.cc.gatech.edu/~mihail/D.8802readings/sampleregular.pdf ]
[39] V. Crestana and N. Sopkar. Mining Decentralized Data Repositories. Technical Report CSE-TR-385-99, University of Michigan, Ann Arbor, 1999.
[ bib | http://www.eecs.umich.edu/techreports/cse/1999/CSE-TR-385-99.pdf ]
[40] H. Dail, F. Berman, and H. Casanova. A Decoupled Scheduling Approach for Grid Application Development Environments. Journal of Parallel and Distributed Computing, 63(5):505-524, 2003.
[ bib | http://portal.acm.org/citation.cfm?id=876707 ]
[41] S. Dao and B. Perry. Applying a Data Miner To Heterogeneous Schema Integration. In Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), pages 63-68, Montreal, Canada, August 1995.
[ bib | ]
[42] K. Das, K. Bhaduri, K. Liu, and H. Kargupta. Distributed identification of top-l inner product elements and its application in a peer-to-peer network. IEEE Trans. on Knowl. and Data Eng., 20(4):475-488, 2008.
[ bib | http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/69/4458221/04378380.pdf?isnumber=4458221&arnumber=4378380 ]
[43] S. Datta, K. Bhaduri, C. Giannella, R. Wolff, and H. Kargupta. Distributed data mining in peer-to-peer networks. IEEE Internet Computing, 10(4):18-26, 2006.
[ bib | http://www.cs.umbc.edu/~hillol/PUBS/P2PDM.pdf ]
[44] S. Datta, C. Giannella, and H. Kargupta. K-means clustering over peer-to-peer networks. In Proceedings of the 8th International Workshop on High Performance and Distributed Mining (HPDM'05). In conjunction with the SIAM International Conference on Data Mining, Newport Beach, California, April 2005.
[ bib | http://userpages.umbc.edu/~souptik1/HPDMWrite.pdf ]
[45] S. Datta and H. Kargupta. Uniform Data Sampling from a Peer-to-peer Network. In Proceedings of the 27th International Conference on Distributed Computing Systems (ICDCS '07), page 50, Toronto, Canada, 2007.
[ bib | http://portal.acm.org/citation.cfm?id=1270884 ]
[46] W. Davies and P. Edwards. Agent-Based Knowledge Discovery. In AAAI Spring Symposium on Information Gathering, 1995.
[ bib | http://www.agent.ai/doc/upload/200403/davi95_1.pdf ]
[47] W. Davies and P. Edwards. Distributed Learning: An Agent-Based Approach to Data-Mining. In Diana Gordon, editor, Proceedings of Machine Learning-95 Workshop on Agents That Learn From Each Other, Tahoe City, CA, 1995. AAAI Press.
[ bib | http://www.agent.ai/doc/upload/200403/davi95_2.pdf ]
[48] J. Davits, J. Yu, S. Basu, D. Gutelis, and A. Harris. iLink: Search and Routing in Social Networks. In Proceedings of the 13th International Conference on Knowledge Discovery and Data Mining (KDD '07), pages 931-940, New York NY, 2007.
[ bib | http://portal.acm.org/citation.cfm?id=1281292 ]
[49] Paul Donachy, Terrence J harmer, Ron H Perrott, Jens Rasch, Sarah Bearder, and Martin Beckett. Grid Enabled Distributed Data Mining and Conversion of Unstructured Data. In Proceedings of UK e-Science All Hands Meeting, Nottingham, UK, September 2003.
[ bib | http://www.nesc.ac.uk/events/ahm2003/AHMCD/pdf/070.pdf ]
[50] W. Du and G. Agrawal. Developing Distributed Data Mining Implementations for a Grid Environment. In Workshop on Peer-to-Peer and Global Computing, with Conference on Cluster Computing and Grid (CCGRID), May 2002.
[ bib | http://csdl.computer.org/comp/proceedings/ccgrid/2002/1582/00/15820440.pdf ]
[51] W. Du and G. Agrawal. Using General Grid Tools and Compiler Technology for Distributed Data Mining: Preliminary Report. In 5th International Workshop on High Performance Data Mining: Resource and Location Aware Mining (HPDM:RLM'02). In conjunction with Second International SIAM Conference on Data Mining, Arlington, VA, April 2002.
[ bib | http://www.cse.ohio-state.edu/~duw/papers&slides/Hpdm02.pdf ]
[52] M. F. Duarte and Y. H. Hu. Vehicle Classification in Distributed Sensor Networks. Journal of Parallel and Distributed Computing, 64(7):826-838, 2004.
[ bib | http://www.ece.wisc.edu/~sensit/publications/ClassificationFusion.pdf ]
[53] M. Eisenhardt, W. Muller, and A. Henrich. Classifying Documents by Distributed P2P Clustering. In Proceedings of Informatik 2003, GI Lecture Notes in Informatics, Frankfurt, Germany, September 2003.
[ bib | http://ai1.inf.uni-bayreuth.de/forschung/publikationsliste/2003/EMH_informatik2003.pdf ]
[54] M. Faerman, A. Su, R. Wolski, and F. Berman. Adaptive Performance Prediction for Distributed Data-intensive Applications. In Proceedings of the 1999 ACM/IEEE conference on Supercomputing (CDROM), page 36, Portland, OR, 1999. ACM Press.
[ bib | http://www.cs.ucsd.edu/Dienst/UI/2.0/Describe/ncstrl.ucsd_cse/CS1999-0619 ]
[55] G. W. Flake, S. Lawrence, C. L. Giles, and F. M. Coetzee. Self organization and identification of web communities. IEEE Computer, 35(3):66-71, March 2002.
[ bib | http://clgiles.ist.psu.edu/papers/Computer-2002-web-communities.pdf ]
[56] Ariel Fuxman, Phokion G. Kolaitis, Renée J. Miller, and Wang-Chiew Tan. Peer data exchange. In ACM SIGMOD/PODS 2005 Conference, Baltimore, Maryland, June 2005.
[ bib | http://www.soe.ucsc.edu/~wctan/papers/2005/pde.pdf ]
[57] Prasanna Ganesan, Qixiang Sun, and Hector Garcia-Molina. Adlib: A self-tuning index for dynamic peer-to-peer systems. In The 21st International Conference on Data Engineering (ICDE 2005), Tokyo, Japan, April 2005.
[ bib | http://csdl2.computer.org/comp/proceedings/icde/2005/2285/00/22850256.pdf ]
[58] H. Ghosh and S. Chaudhury. Distributed and Reactive Query Planning in R-MAGIC: An Agent-Based Multimedia Retrieval System. IEEE Transactions on Knowledge and Data Engineering, 16(9):1082-1095, September 2004.
[ bib | ]
[59] Nikolaos Giannadakis, Anthony Rowe, Moustafa Ghanem, and Yi ke Guo. InfoGrid: providing information integration for knowledge discovery. Information Sciences. Special Issue: Knowledge Discovery from Distributed Information Sources, 155(3-4):199-226, October 2003.
[ bib | http://www.discovery-on-the.net/documents/InfoGrid.pdf ]
[60] M. Gillmann, J. Weißenfels, G. Shegalov, W. Wonner, and G. Weikum. A Goal-driven Auto-Configuration Tool for the Distributed Workflow Management System Mentor-lite. SIGMOD Record, 29(2):595, 2000.
[ bib | http://www.mpi-sb.mpg.de/units/ag5/publications/sigmod00-demo.pdf ]
[61] C. Gkantsidis, M. Mihail, and A. Saberi. Random Walks in Peer-to-Peer Networks. In Proceedings of IEEE INFOCOM, 2004.
[ bib | http://www.ieee-infocom.org/2004/Papers/03_4.PDF ]
[62] S. Goil and A. Choudhary. High Performance OLAP and Data Mining on Parallel Computers. Journal of Data Mining and Knowledge Discovery (Special Issue on Scalable High-Performance Computing for KDD), 1(4):391-417, 1997.
[ bib | http://portal.acm.org/citation.cfm?id=593455 ]
[63] S. Goil and A. Choudhary. PARSIMONY: An Infrastructure for Parallel Multidimensional Analysis and Data Mining. Journal of Parallel and Distributed Computing, 61(3):285-321, 2001.
[ bib | http://portal.acm.org/citation.cfm?id=370736 ]
[64] M. Greenwald and S. Khanna. Power-Conserving Computation of Order-Statistics over Sensor Networks. In Proceedings of the Twenty-third ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, pages 275-285, Paris, France, June 2004.
[ bib | http://www.cis.upenn.edu/~mbgreen/papers/pods04.pdf ]
[65] R. L. Grossman and A. Turinsky. A Framework for Finding Distributed Data Mining Strategies That are Intermediate Between Centralized Strategies and In-Place Strategies. In Workshop on Distributed and Parallel Knowledge Discovery, Boston, MA, 2000.
[ bib | http://www.visualgenomics.ca/turinsa/ ]
[66] Carlos Guestrin, Peter Bodík, Romain Thibaux, Mark A. Paskin, and Samuel Madden. Distributed regression: an efficient framework for modeling sensor network data. In Proceedings of the Third International Symposium on Information Processing in Sensor Networks (IPSN 2004), Berkeley, California, April 2004.
[ bib | http://www.cs.berkeley.edu/~bodikp/publications/ipsn04.pdf ]
[67] Ramakrishna Gummadi, Xin Li, Ramesh Govindan, Cyrus Shahabi, and Wei Hong. Energy-efficient data organization and query processing in sensor networks. In The 21st International Conference on Data Engineering (ICDE 2005), Tokyo, Japan, April 2005.
[ bib | http://ieeexplore.ieee.org/iel5/9680/30564/01410115.pdf?arnumber=1410115 ]
[68] Y. Guo. Discovery Net: A UK E-science Pilot Project for Grid Based Knowledge Discovery Service. In Workshop on Data Mining and Exploration Middleware for Distributed and Grid Computing, Minneapolis, Minnesota, September 2003.
[ bib | http://www.msi.umn.edu/general/Symposia/dmem/ ]
[69] P. Han, R. Shen, and F. Yang. A Novel Distributed Collaborative Filtering Algorithm and Its Implementation on P2P Overlay Network. In Proceedings of the Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining, Sydney, Australia, May 2004.
[ bib | ]
[70] J. Himber, J. Tikänmaki, Hannu T.T. Toivonen, K. Korpiaho, and H. Mannila. Time Series Segmentation for Context Recognition in Mobile Devices. In 2001 IEEE International Conference on Data Mining (ICDM'01) , San Jose, California, November 2001.
[ bib | http://portal.acm.org/citation.cfm?id=756507 ]
[71] V. Honavar, L. Miller, and J. Wong. Distributed Knowledge Networks. In IEEE Information Technology Conference, Syracuse, NY, 1998.
[ bib | http://www.cs.iastate.edu/~honavar/ailab/projects/dkn.html#Publications ]
[72] K. Horowitz and D. Malkhi. Estimating network size from local information. The Information Processing Letters Journal, 88(5):237-243, December 2003.
[ bib | http://www.cs.huji.ac.il/labs/danss/papers/2003/HM03.ps ]
[73] H.-C. Hsiao and C.-T. King. Similarity discovery in structured p2p overlays. In 2003 International Conference on Parallel Processing (ICPP'03), page 636, 2003.
[ bib | http://doi.ieeecomputersociety.org/10.1109/ICPP.2003.1240632 ]
[74] M. Indrawan, S. Krishnaswamy, and T. Ranjan. Using Mobile Agents to Support Unreliable Database Operations. In The International Conference on Advanced Information Networking and Applications (AINA2003), Xian, China, April 2003. IEEE Press.
[ bib | http://csdl.computer.org/comp/proceedings/aina/2003/1906/00/19060538abs.htm ]
[75] M. Indrawan, S. Krishnaswamy, and D. Sethi. Supporting Database Retrieval in Mobile Computing Environments Using Mobile Agents. In International Conference on Advances in Mobile Multimedia (MoMM 2003), Jakarta, Indonesia, September 2003.
[ bib | http://neptune.netcomp.monash.edu.au/staff/shonali/research.html#publications ]
[76] Mark Jelasity, Wojtek Kowalczyk, and Maarten van Stteen. An approach to massively distributed aggregate computing on peer-to-peer networks. In Proceedings of the 12th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP'04), A Coruna, Spain, February 2004.
[ bib | http://ieeexplore.ieee.org/iel5/8971/28471/01271446.pdf ]
[77] Wu-Shan Jiang and Ji-Hui Yu. Distributed data mining on the grid. In Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Guangzhou, August 2005.
[ bib | http://ieeexplore.ieee.org/iel5/10231/32626/01527275.pdf?arnumber=1527275 ]
[78] R. Jin and G. Agrawal. Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. In Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, April 2002.
[ bib | http://ieeexplore.ieee.org/xpl/abs_free.jsp?arNumber=1363766 ]
[79] R. Jin and G. Agrawal. Combining Distributed Memory and Shared Memory Parallelization for Data Mining Algorithms. In HPDM: High Performance, Pervasive, and Data Stream Mining 6th International Workshop on High Performance Data Mining: Pervasive and Data Stream Mining (HPDM:PDS'03). In conjunction with Third International SIAM Conference on Data Mining, San Francisco, CA, May 2003.
[ bib | http://www.cse.ohio-state.edu/~jinr/publications.html ]
[80] R. Jin and G. Agrawal. A Middleware for Developing Parallel Data Mining Applications. In 2001, editor, Proceedings of the First SIAM International Conference on Data Mining, April Chicago, IL.
[ bib | http://www.siam.org/meetings/SDM01/pdf/sdm01_17.pdf ]
[81] S.-H. Jou and S.-J. Kao. Agent-Based Infrastructure and an Application to Internet Information Gathering. Knowledge and Information Systems, 4(1):80-95, 2002.
[ bib | http://portal.acm.org/citation.cfm?id=639629 ]
[82] S. Kamvar, M. Schlosser, and H. Garcia-Molina. The eigentrust algorithm for reputation management in p2p networks. In Proceedings of the 12th international conference on World Wide Web (WWW), pages 640-651, Budapest, Hungary, 2003.
[ bib | http://www.stanford.edu/~sdkamvar/papers/eigentrust.pdf ]
[83] R. Kanagasabai and A.-H.Tan. Mining Semantic Networks for Knowledge Discovery. In The Third IEEE International Conference on Data Mining (ICDM'03), Melbourne, FL, November 2003.
[ bib | http://csdl.computer.org/comp/proceedings/icdm/2003/1978/00/19780633abs.htm ]
[84] H. Kargupta, I. Hamzaoglu, and B. Stafford. Scalable, Distributed Data Mining Using An Agent Based Architecture. In David Heckerman, Heikki Mannila, Daryl Pregibon, and Ramasamy Uthurusamy, editors, Proceedings of Knowledge Discovery And Data Mining, pages 211-214, Menlo Park, CA, 1997. AAAI Press.
[ bib | http://citeseer.nj.nec.com/kargupta97scalable.html ]
[85] H. Kargupta, B. Park, S. Pittie, L. Liu, D. Kushraj, and K. Sarkar. MobiMine: Monitoring the Stock Market from a PDA. ACM SIGKDD Explorations, 3(2):37-46, January 2002.
[ bib | http://citeseer.nj.nec.com/kargupta01mobimine.html ]
[86] H. Kargupta, K. Sivakumar, and S. Ghosh. A Random Matrix-based Approach for Dependency Detection. In Proceedings of the 2002 Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD'2002), pages 24-29, Madison, WI, June 2002. ACM SIGMOD.
[ bib | http://citeseer.ist.psu.edu/663607.html ]
[87] H. Kargupta, K. Sivakumar, and S. Ghosh. Dependency Detection in MobiMine and Random Matrices. In Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases, pages 250-262, Helsinki, Finland, 2002. Springer Verlag.
[ bib | http://www.cs.umbc.edu/~hillol/PUBS/pkdd02_kargupta.pdf ]
[88] David Kempe, Alin Dobra, and Johannes Gehrke. Gossip-based computation of aggregate information. In Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science (FOCS), pages 482-491, October 2003.
[ bib | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1238221 ]
[89] M. Khambatti, K. D. Ryu, and P. Dasgupta. Efficient discovery of implicitly formed peer-to-peer communities. International Journal of Parallel and Distributed Systems and Networks, 5(4):155-164, 2002.
[ bib | http://www.public.asu.edu/~kryu1/papers/IJPDSN.pdf ]
[90] M.S. Khambatti, K.D. Ryu, and P. Dasgupta. Push-pull gossiping for information sharing in peer-to-peer communities. In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA), pages pp. 1393-1399., Las Vegas, Nevada, June 2003.
[ bib | http://cactus.eas.asu.edu/Partha/Papers-PDF/2003/Muj-PDPTA.pdf ]
[91] M. Klusch, S. Lodi, and G. L. Moro. Agent-Based Distributed Data Mining: The KDEC Scheme. In Intelligent Information Agents: The AgentLink Perspective, LNAI 2586, pages 104-122. Springer, July 2003.
[ bib | http://www.ingce.unibo.it/~gmoro/ ]
[92] J. H. Kotecha, V. Ramachandran, and A. M. Sayeed. Distributed Multitarget Classification in Wireless Sensor Networks. IEEE Journal of Selected Areas in Communications, 23(4):703-713, April 2005.
[ bib | http://www.ece.wisc.edu/~sensit/publications/sayeed_jsac2.pdf ]
[93] S. Krishnaswamy, S. Loke, and A. Zaslavsky. Cost Models For Distributed Data Mining. In Proceedings of the Twelfth International Conference on Software Engineering and Knowledge Engineering (SEKE'2000), pages 31-38, Chicago, IL, 2000.
[ bib | http://goanna.cs.rmit.edu.au/~swloke/writings/seke00.pdf ]
[94] S. Krishnaswamy and W. S. Loke. On Modelling Agent Mobility in Multiagent Methodologies. In Workshop on Agent Oriented Information Systems (AOIS 2003). Held in conjunction with the Second International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2003), Melbourne, Australia, July 2003.
[ bib | ]
[95] S. Krishnaswamy, W. S. Loke, and A. Zaslasvky. Supporting the Optimisation of Distributed Data Mining by Predicting Application Run Times. In M. Piatting, J. Filipe, and J. Braz, editors, Enterprise Information Systems IV. Kluwer Academic, 2002.
[ bib | http://www.csse.monash.edu.au/projects/MobileComponents/projects/dame/ICEIS2002.pdf ]
[96] S. Krishnaswamy, A. Zaslasvky, and W. S. Loke. Internet Delivery of Distributed Data Mining Services: Architectures, Issues and Prospects. In V. K. Murthy and N. Shi, editors, Architectural Issues of Web-enabled Electronic Business, pages 113-127. Idea Group, 2003.
[ bib | http://www.idea-group.com/books/details.asp?id=515 ]
[97] S. Krishnaswamy, A. Zaslavsky, and S. W. Loke. An Architecture to Support Distributed Data Mining Services in E-Commerce Environments. In Second International Workshop on Advance Issues of E-Commerce and Web-Based Information Systems (WECWIS 2000), pages 239-246, Milpitas, CA, June 2000.
[ bib | http://csdl.computer.org/comp/proceedings/wecwis/2000/0610/00/06100239abs.htm ]
[98] S. Krishnaswamy, A. Zaslavsky, and W. S. Loke. Towards Data Mining Services on the Internet with a Multiple Service Provider Model: An XML Based Approach. Electronic Commerce Research (Special issue on Electronic Commerce and Service Operations), 2(3), August 2001.
[ bib | http://www.csse.monash.edu.au/projects/MobileComponents/projects/dame/JECR2001.pdf ]
[99] S. Krishnaswamy, A. Zaslavsky, and W. S. Loke. Techniques for Estimating the Computation and Communication Costs of Distributed Data Mining. In Proceedings of International Conference on Computational Science (ICCS2002) - Part I, volume 2331 of Lecture Notes in Computer Science (LNCS), pages 603-612. Springer Verlag, 2002.
[ bib | http://www.csse.monash.edu.au/~shonali/research/research-publications.html ]
[100] Denis Krivitski, Assaf Schuster, and Ran Wolff. A local facility location algorithm for sensor networks. In Proceedings of International Conference on Distributed Computing in Sensor Systems (DCOSS'05), Marina del Rey, CA, June-July 2005.
[ bib | http://mis.haifa.ac.il/~rwolff/papers/wolff05dcoss.pdf ]
[101] A. Kumar, M. Kantardzic, P. Ramaswamy, and P. Sadeghian. An extensible service oriented distributed data mining framework. In Proceedings of International Conference on Machine Learning and Applications, 2004, December 2004.
[ bib | http://ieeexplore.ieee.org/iel5/9504/30147/01383522.pdf?isnumber=&arnumber=1383522 ]
[102] V. Kumar. Network Intrusion Detection Using Distributed Data Mining. In Workshop on Data Mining and Exploration Middleware for Distributed and Grid Computing, Minneapolis, MN, September 2003.
[ bib | ]
[103] T. Kurc. On-demand Exploration of Very Large, Distributed Datasets in Large-scale Simulation Studies. In Workshop on Data Mining and Exploration Middleware for Distributed and Grid Computing, Minneapolis, MN, September 2003.
[ bib | ]
[104] J. Kurhinen and J. Vuori. Information diffusion in a single-hop mobile peer-to-peer. In Proceedings of the 10th IEEE Symposium on Computers and Communication(ISCC 2005), Cartagena, Spain, 2005.
[ bib | http://ieeexplore.ieee.org/iel5/10000/32117/01493719.pdf?arnumber=1493719 ]
[105] A. Lazarevic, D. Pokrajac, and Z. Obradovic. An E-commerce System for Mining Distributed Spatial Databases. In Proceedings of International Conference on Advances in Infrastructure for Electronic Business, Science, and Education on the Internet, pages 129-134, LÁquila, Italy, August 2000.
[ bib | http://www.ist.temple.edu/~zoran/papers/lazarevic00d.pdf ]
[106] Wang-Chien Lee and Baihua Zheng. Dsi: A fully distributed spatial index for wireless data broadcast. In The 21st International Conference on Data Engineering (ICDE 2005), Tokyo, Japan, April 2005.
[ bib | http://csdl2.computer.org/comp/proceedings/icde/2005/2285/00/22850417.pdf ]
[107] B. Lesyng, P. Baa, and D. Erwin. EUROGRID¨C¨CEuropean computational grid testbed. Journal of Parallel and Distributed Computing, 63(5):590-596, 2003.
[ bib | http://portal.acm.org/citation.cfm?id=876713 ]
[108] S.-J. Lim and Y.-K. Ng. A Hybrid Fragmentation Approach for Distributed Deductive Database Systems. Knowledge and Information Systems, 3(2):198-224, 2001.
[ bib | http://faculty.cs.byu.edu/~dennis/papers.html ]
[109] D. Liu. Resilient Cluster Formation for Sensor Networks. In Proceedings of the 27th International Conference on Distributed Computing Systems (ICDCS '07), page 40, Toronto, Canada, 2007.
[ bib | http://portal.acm.org/citation.cfm?id=1270874 ]
[110] K. Liu, K Bhaduri, K. Das, P. Nguyen, and H. Kargupta. Client-side web mining for community formation in peer-to-peer environments. In SIGKDD workshop on web usage and analysis (WebKDD), 2006.
[ bib | http://www.cs.umbc.edu/~hillol/PUBS/Papers/webkdd06.pdf ]
[111] Mihai Lupu and Bei Yu. Hiwarpp - hierarchical wavelet-based retrieval on peer-to-peer network. In Proceedings of the twenty-second International Conference on Data Engineering (ICDE 2006), Atlanta, Georgia, April 2006.
[ bib | http://ieeexplore.ieee.org/iel5/10757/33902/01617501.pdf ]
[112] Amit Manjhi, Suman Nath, and Phillip B. Gibbons. Tributaries and deltas: Efficient and robust aggregation in sensor network streams. In ACM SIGMOD/PODS 2005 Conference, Baltimore, Maryland, June 2005.
[ bib | http://research.microsoft.com/~sumann/papers/td.pdf ]
[113] A. M. Manning and J. A. Keane. Data Allocation Algorithm for Parallel Association Rule Discovery. In The Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2001), Hong Kong, China, April 2001.
[ bib | http://www.cs.man.ac.uk/cnc/staff/anna/p0065.ps ]
[114] C. Mastroianni, D. Talia, and P. Trunfio. Managing Heterogeneous Resources in Data Mining Applications on Grids Using XML-Based Metadata. In IPDPS, Nice, France, 2003.
[ bib | http://csdl.computer.org/comp/proceedings/ipdps/2003/1926/00/19260099babs.htm ]
[115] S. McClean, R. Páircéir, B. Scotney, and K. Greer. A Negotiation Agent for Distributed Heterogeneous Statistical Databases. SSDBM 2002, pages 207-216, 2002.
[ bib | ]
[116] S. I. McClean and B. W. Scotney. Using Evidence Theory for the Integration of Distributed Databases. International Journal of Intelligent Systems, 12(10):763-776, 1997.
[ bib | ]
[117] M. Mehyar, D. Spanos, J. Pongsajapan, S. Low, and R. Murray. Distributed averaging on a peer-to-peer network. In Proceedings of IEEE Conference on Decision and Control, 2005.
[ bib | http://www.cs.caltech.edu/~morr/publications/IPSN_MSPLM2005.pdf ]
[118] A. Metwally, D. Agrawal, and A. E. Abbadi. Efficient computation of frequent and top-k elements in data streams. In Proceedings of the tenth International Conference on Database Theory (ICDT'05), Edinburgh, Scotland, January 2005.
[ bib | http://www.cs.ucsb.edu/~dsl/publications/2005/ICDT2005-metwally.pdf ]
[119] W. Nejdl, W. Siberski, U. Thaden, and W.-T. Balke. Top-k Query Evaluation for Schema-Based Peer-to-Peer Networks, 2004.
[ bib | http://www.kbs.uni-hannover.de/Arbeiten/Publikationen/2004/topk_iswc.pdf ]
[120] B. Park, H. Kargupta, E. Johnson, E. Sanseverino, D. Hershberger, and L. Silvestre. Distributed, Collaborative Data Analysis from Heterogeneous Sites Using a Scalable Evolutionary Technique. Journal of Applied Intelligence, 16(1):19-42, 2002.
[ bib | http://www.informatik.uni-trier.de/~ley/db/journals/apin/apin16.html ]
[121] Sweta Pittie, Hillol Kargupta, and Byung-Hoon Park. Dependency detection in MobiMine: a systems perspective. Information Sciences. Special Issue: Knowledge Discovery from Distributed Information Sources, 155(3-4):227-243, October 2003.
[ bib | http://portal.acm.org/citation.cfm?id=966315 ]
[122] Michael Rabbat and Robert Nowak. Distributed optimization in sensor networks. In Proceedings of the third international symposium on Information processing in sensor networks (IPSN '04), pages 20-27, Berkeley, California, 2004.
[ bib | http://portal.acm.org/citation.cfm?id=984626 ]
[123] O. Rana, D. Walker, M. Li, S. Lynden, and M. Ward. PaDDMAS: Parallel and Distributed Data Mining Application Suite. In Fourteenth International Parallel and Distributed Processing Symposium, pages 387-392, Cancun, Mexico, May 2000.
[ bib | http://citeseer.nj.nec.com/418443.html ]
[124] J. Reinoso-Castillo. Ontolgy-Driven Information Extraction and Integration from Autonomous, Heterogeneous, Distributed Data Sources - A Federated Query-Centric Approach (Master Thesis), 2002.
[ bib | http://www.cs.iastate.edu/~honavar/Papers/jaimethesis.pdf ]
[125] J. Reinoso-Castillo, A. Silvescu, D. Caragea, J. Pathak, and V. Honavar. Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources: A Federated, Query-Centric Approach. In IEEE International Conference on Information Integration and Reuse, 2003.
[ bib | http://www.cs.iastate.edu/~honavar/Papers/indusfinal.pdf ]
[126] Bryan Scotney and Sally McClean. Database aggregation of imprecise and uncertain evidence. Information Sciences. Special Issue: Knowledge Discovery from Distributed Information Sources, 155(3-4):245-263, October 2003.
[ bib | http://portal.acm.org/citation.cfm?id=966316 ]
[127] I. Sharfman, Assaf Schuster, and Daniel Keren. A geometric appraoch to monitoring threshold functions over distributed data streams. In Proceedings of the SIGMOD 2006, Chicago, Illinois, June 2006.
[ bib | http://portal.acm.org/citation.cfm?id=1142508&dl=ACM&coll=ACM&CFID=15151515&CFTOKEN=6184618 ]
[128] E. C. Shek, R. R. Muntz, E. Mesrobian, and K. W. Ng. Scalable Exploratory Data Mining of Distributed Geoscientific Data. In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), pages 32-37, Portland, OR, 1996.
[ bib | http://dml.cs.ucla.edu/publications/#kdd_96 ]
[129] Heng Tao Shen, Yanfeng Shu, and Bei Yu. Efficient Semantic-Based Content Search in P2P Network. IEEE Transactions on Knowledge and Data Engineering, 16:813-826, July 2004.
[ bib | http://csdl.computer.org/comp/trans/tk/2004/07/k0813abs.htm ]
[130] S. Shi, J. Yu, G. Yang, and D. Wang. Distributed page ranking in structured p2p networks. In Proceedings of 2003 International Conference on Parallel Processing (ICPP'03), page 179, 2003.
[ bib | http://doi.ieeecomputersociety.org/10.1109/ICPP.2003.1240579 ]
[131] Mei-Ling Shyu, Choochart Haruechaiyasak, and Shu-Ching Chen. Category cluster discovery from distributed WWW directories. Information Sciences. Special Issue: Knowledge Discovery from Distributed Information Sources, 155(3-4):181£­£­197, October 2003.
[ bib | http://portal.acm.org/citation.cfm?id=966311.966313 ]
[132] A. Silberstein, A. Gelfand, K. Munagala, G. Puggioni, and J. Yang. Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach. In Proceedings of the 33rd Very Large Data Bases Conference (VLDB '07), pages 842-853, New York, NY, 2007.
[ bib | http://www.vldb.org/conf/2007/papers/research/p842-silberstein.pdf ]
[133] A. Silberstein and J. Yang. Many-to-Many Aggregation for Sensor Networks. In Proceedings of the IEEE International Conference on Data Engineering (ICDE '07), pages 986-995, Istanbul, Turkey, 2007.
[ bib | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4221747 ]
[134] Utkarsh Srivastava, Kamesh Munagala, and Jennifer Widom. Operator placement for in-network stream query processing. In ACM SIGMOD/PODS 2005 Conference, Baltimore, Maryland, June 2005.
[ bib | http://dbpubs.stanford.edu:8090/pub/showDoc.Fulltext?lang=en&doc=2004-50&format=pdf&compression=&name=2004-50.pdf ]
[135] R. Subramonian and S. Parthasarathy. An Architecture for Distributed Data Mining. In Fourth International Conference of Knowledge Discovery and Data Mining, pages 44-59, New York, NY, 1998.
[ bib | ]
[136] V. Sunderam. Towards Service-Based Approaches to Data Mining in Grids. In Workshop on Data Mining and Exploration Middleware for Distributed and Grid Computing, Minneapolis, MN, September 2003.
[ bib | ]
[137] W. Sutandiyo, B. M. Chhetri, S. Krishnaswamy, and W. S. Loke. From m-GAIA to Grasshopper: Engineering Mobile Agent Applications. In The Fifth International Conference on Information Integration and Web-based Applications and Services (IIWAS2003), Jakarta, Indonesia, September 2003.
[ bib | http://www.tk.uni-linz.ac.at/iiwas/papers.htm ]
[138] D. Talia. Grid-based Data Mining and the Knowledge Grid Framework. In Workshop on Data Mining and Exploration Middleware for Distributed and Grid Computing, Minneapolis, MN, September 2003.
[ bib | http://www.msi.umn.edu/general/Symposia/dmem/agenda.htm ]
[139] E. Tanin, A. Harwood, and H. Samet. A Distributed Quadtree Index for Peer-to-Peer Settings. In Proceedings of the 21st International Conference on Data Engineering (ICDE'05), Tokyo, Japan, April 2005.
[ bib | http://www.cs.mu.oz.au/~egemen/icde05.pdf ]
[140] C. Tempich, A. Löser, and J. Heizmann. Community Based Ranking in Peer-to-Peer Networks, volume 3761, chapter Lecture Notes in Computer Science, pages 1261-1278. Springer-Verlag GmbH, October 2005.
[ bib | http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/11575801_21 ]
[141] V. Curcin, M. Ghanem, Y. Guo, M. Köhler, A. Rowe, J. Syed, and P. Wendel. Discovery Net: Towards a Grid of Knowledge Discovery. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 658-663, Edmonton, Canada, 2002. ACM Press.
[ bib | http://delivery.acm.org/10.1145/780000/775145/p658-curcin.pdf?key1=775145&key2=6332629011&coll=GUIDE&dl=GUIDE&CFID=39395149&CFTOKEN=87562078 ]
[142] Y. Wang and J. Vassileva. Trust-based community formation in peer-to-peer file sharing networks. In Proceedings IEEE International Conference on Web Intelligence (WI'04), pages 341-338, Beijing, China, October 2004.
[ bib | http://ieeexplore.ieee.org/iel5/9689/30573/01410824.pdf ]
[143] G. Weiß. A Multiagent Perspective of Parallel and Distributed Machine Learning. In K. P. Sycara and M. Wooldridge, editors, Proceedings of the 2nd International Conference on Autonomous Agents (Agents'98), pages 226-230, New York, NY, 1998. ACM Press.
[ bib | http://wwwbrauer.informatik.tu-muenchen.de/~weissg/Docs/weissg-aa98.pdf ]
[144] P. Wendel and Y.-K. Guo. The Design of a Platform for Distributed KDD Components. In 5th International Workshop on High Performance Data Mining: Resource and Location Aware Mining (HPDM:RLM'02). In conjunction with Second International SIAM Conference on Data Mining, Arlington, VA, April 2002.
[ bib | http://www.cse.ohio-state.edu/~srini/HPDM02/ ]
[145] R. Wirth, M. Borth, and J. Hipp. When Distribution is Part of the Semantics: A New Problem Class for Distributed Knowledge Discovery. In Proceedings of PKDD-2001 Workshop on Ubiquitous Data Mining for Mobile and Distributed Environments, pages 56-64, Freiburg, Germany, September 2001.
[ bib | http://www.cs.umbc.edu/~hillol/pkdd2001/papers/wirth.pdf ]
[146] R. Wolff, K. Bhaduri, and H. Kargupta. Local L2 Thresholding Based Data Mining in Peer-to-Peer Systems. In Proceedings of 2006 SIAM Conference on Data Mining, Bethesda, MD, April 2006.
[ bib | http://www.cs.umbc.edu/~hillol/Kargupta/pubs.html ]
[147] Qishi Wu, Nageswara S. V. Rao, Jacob Barhen, S. Sitharama Iyengar, Vijay K. Vaishnavi, Hairong Qi, and Krishnendu Chakrabarty. On Computing Mobile Agent Routes for Data Fusion in Distributed Sensor Networks. IEEE Transactions on Knowledge and Data Engineering, 16:740-753, June 2004.
[ bib | http://csdl.computer.org/comp/trans/tk/2004/06/k0740abs.htm ]
[148] Lin Xiao, Stephen Boyd, and Sanjay Lall. A space-time diffusion scheme for peer-to-peer least-squares estimation. In Proceedings of the Fifth International Symposium on Information Processing in Sensor Networks (IPSN 2006), Nashville, TN, April 2006.
[ bib | http://tableau.stanford.edu/~lall/tree/code/publications/bib.php?tag=xiao_2006a ]
[149] L. Xiong, S. Chitti, and L. Liu. Top-k Queries across Multiple Private Databases. In Proceedings of the 25th IEEE International Conference on Distributed Computing Systems (ICDCS'05), pages 145-154. IEEE Computer Society, 2005.
[ bib | http://dx.doi.org/10.1109/ICDCS.2005.82 ]
[150] J. Yang, V. Honavar, L. Miller, and J. Wong. Intelligent Mobile Agents for Information Retrieval and Knowledge Discovery from Distributed Data and Knowledge Sources. In IEEE Information Technology Conference, Syracuse, NY, 1998.
[ bib | ]
[151] X. Yang, H. Lim, T. Ozsu, and K. Tan. In-Network Execution of Monitoring Queries in Sensor Networks. In Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data and Principles of Database Systems, pages 521-532, New York, NY, 2007.
[ bib | http://portal.acm.org/citation.cfm?id=1247480.1247538 ]
[152] Liangzhong Yin and Guohong Cao. Dup: Dynamic-tree based update propagation in peer-to-peer networks. In The 21st International Conference on Data Engineering (ICDE 2005), Tokyo, Japan, April 2005.
[ bib | http://ieeexplore.ieee.org/iel5/9680/30564/01410129.pdf?arnumber=1410129 ]
[153] M. Zaki. Parallel Sequence Mining on Shared-Memory Machines. Journal of Parallel and Distributed Computing, 61(3):401-426, 2001.
[ bib | http://portal.acm.org/citation.cfm?id=648035.744386 ]
[154] D. Zeinalipour-Yazti, Z. Vagena, D. Gunopulos, V. Kalogeraki, V. Tsotras, M. Vlachos, N. Koudas, and D. Srivastava. The Threshold Join Algorithm for Top-k Queries in Distributed Sensor Networks. In Proceedings of the 2nd International Workshop on Data Management for Sensor Networks, pages 61-66, Trondheim, Norway, 2005. ACM Press.
[ bib | http://doi.acm.org/10.1145/1080885.1080896 ]
[155] Y. Zhang, G. Owen, S. Prasad, R. Sunderraman, and G. Vachtsevano. Intelligent Internet2 Agents for Distributed Data Mining. In The Internet2 Network Research Workshop, June 2000.
[ bib | ]
[156] J. Zhao, R. Govindan, and D. Estrin. Computing aggregates for monitoring wireless sensor networks. In Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, pages 139-148, May 2003.
[ bib | http://enl.usc.edu/papers/cache/Zhao02.pdf ]
[157] M. Zhong, K. Shen, and J. Seiferas. Non-uniform random membership management in peer-to-peer networks. In In Proceedings of the IEEE INFOCOM, Miami, FL, March 2005.
[ bib | http://www.cs.rochester.edu/~kshen/papers/infocom2005b.pdf ]
[158] A. Zhou, W. Qian, S. Zhou, B. Ling, L. Xu, N. W. Siong, O. B. Chin, and T. Kian-Lee. Data management in peer-to-peer environment: a perspective of BestPeer. Journal of Computer Science and Technology, 18(4):452-461, 2003.
[ bib | http://portal.acm.org/citation.cfm?id=944151&dl=ACM&coll=&CFID=15151515&CFTOKEN=6184618 ]
[159] D. Zhou, S. Orshanskiy, H. Zha, and C. Giles. Co-Ranking Authors and Documents in a Heterogeneous Network. In Proceedings of the IEEE International Conference on Data Mining (ICDM '07), pages 739-744, Omaha, NE, 2007.
[ bib | ftp://ftp.computer.org/press/outgoing/proceedings/icdm07/Data/3018a739.pdf ]
[160] Zhuang, Y. Chen, L. Wang, X. S. Lian, and Jie. A Weighted Moving Average-based Approach for Cleaning Sensor Data. In Proceedings of the 27th International Conference on Distributed Computing Systems (ICDCS '07), page 38, Toronto, canada, 2007.
[ bib | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4268192 ]