| [1] |
E. Ariwa, M. Senousy, and M. M. Gaber.
Facilities Management and E-business Model Application for
Distributed Data Mining using Mobile Agents.
The International Journal of Applied Marketing, 2(1), 2003. [ bib | http://www.csse.monash.edu.au/~mgaber/Publications.htm ] |
| [2] |
Ezendu Ariwa and Medhat Medhat Gaber.
Globalization and Informatization: Analysis of the Application of
Distributed Data Mining to Facilities Management.
In 32nd International Conference on Computers and Industrial
Engineering Sustainability, Globalisation-The Engineering Challenge, 2003. [ bib | http://www.csse.monash.edu.au/~mgaber/Publications.htm ] |
| [3] |
Magdalena Balazinska, Hari Balakrishnan, Sam Madden, and Michael Stonebraker.
Fault-tolerance in the borealis distributed stream processing system.
In ACM SIGMOD/PODS 2005 Conference, Baltimore, Maryland, June
2005. [ bib | http://www.cs.brown.edu/research/borealis/public/publications/borealis-sigmod05.pdf ] |
| [4] |
Gong Chen, Xindong Wu, and Xingquan Zhu.
Sequential pattern mining in multiple streams.
In Proceedings of the Fifth IEEE International Conference on
Data Mining, Houston, Texas, August 2005. [ bib | http://www.cs.uvm.edu/~xwu/Publication/ICDM05-s.pdf ] |
| [5] |
J. Chi, M. Koyuturk, and A. Grama.
Conquest: A Distributed Tool for Constructing Summaries of
High-Dimensional Discrete Attribute Data Sets.
In Proceedings of 2004 SIAM International Conference on Data
Mining (SDM'04), Lake Buena Vista, FL, April 2004. [ bib | ] |
| [6] |
G. Cormode, S. Muthukrishnan, and W. Zhuang.
Conquering the Divide: Continuous Clustering of Distributed Data
Streams.
In Proceedings of the IEEE International Conference on Data
Engineering (ICDE '07), pages 1036-1045, Istanbul, Turkey, 2007. [ bib | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4221752 ] |
| [7] |
Graham Cormode, Minos Garofalakis, S. Muthukrishnan, and Rajeev Rastogi.
Holistic aggregates in a networked world: Distributed tracking of
approximate quantiles.
In ACM SIGMOD/PODS 2005 Conference, Baltimore, Maryland, June
2005. [ bib | http://delivery.acm.org/10.1145/1070000/1066161/p25-cormode.pdf?key1=1066161&key2=1466556611&coll=GUIDE&dl=GUIDE&CFID=9316463&CFTOKEN=86066346 ] |
| [8] |
Graham Cormode and S. Muthukrishnan.
Space efficient mining of multigraph streams.
In ACM SIGMOD/PODS 2005 Conference, Baltimore, Maryland, June
2005. [ bib | http://dimacs.rutgers.edu/~graham/pubs/papers/multigraph.pdf ] |
| [9] |
Graham Cormode, S. Muthukrishnan, and Wei Zhuang.
What's different: Distributed, continuous monitoring of
duplicate-resilient aggregates on data streams.
In Proceedings of the twenty-second International Conference on
Data Engineering (ICDE 2006), Atlanta, Georgia, April 2006. [ bib ] |
| [10] |
A. Demiriz.
webSPADE: A Parallel Sequence Mining Algorithm to Analyze Web Log
Data.
In Proceedings of the 2002 IEEE International Conference on
Data Mining (ICDM 2002), pages 755-758, Maebashi City, Japan, December
2002. IEEE Computer Society. [ bib | http://www.rpi.edu/~demira/newspade.pdf ] |
| [11] |
Sumit Ganguly, Minos Garofalakis, Amit Kumar, and Rajeev Rastogi.
Join-distinct aggregate estimation over update streams.
In ACM SIGMOD/PODS 2005 Conference, Baltimore, Maryland, June
2005. [ bib | http://www.bell-labs.com/org/bl-india/research/papers-talks/ganguly-pods05.pdf ] |
| [12] |
P. Gibbons and S. Tirthapura.
Estimating simple functions on the union of data streams.
In ACM Symposium on Parallel Algorithms and Architectures,
pages 281-291, 2001. [ bib | http://www.aladdin.cs.cmu.edu/papers/pdfs/y2001/est_simp.pdf ] |
| [13] |
Jeong-Hyon Hwang, Magdalena Balazinska, Alexander Rasin, Ugur Cetintemel, Mike
Stonebraker, and Stan Zdonik.
High-availability algorithms for distributed stream processing.
In The 21st International Conference on Data Engineering (ICDE
2005), Tokyo, Japan, April 2005. [ bib | http://nms.csail.mit.edu/papers/index.php?detail=109 ] |
| [14] |
H. Kargupta, R. Bhargava, K. Liu, M. Powers, P. Blair, S. Bushra, J. Dull,
K. Sarkar, M. Klein, M. Vasa, and D. Handy.
VEDAS: A Mobile and Distributed Data Stream Mining System for
Real-time Vehicle Monitoring.
In Proceedings of 2004 SIAM International Conference on Data
Mining (SDM'04), Lake Buena Vista, FL, April 2004. [ bib | ] |
| [15] |
H. Kargupta and B. Park.
Mining Decision Trees from Data Streams in a Mobile Environment.
In Proceedings of the IEEE International Conference on Data
Mining, pages 75-82. IEEE Press, November 2001. [ bib | http://portal.acm.org/citation.cfm?id=658039 ] |
| [16] |
H. Kargupta and B. Park.
Mining Time-Critical Data Streams from Mobile Devices using Decision
Trees and Their Fourier Spectrum.
IEEE Transaction on Knowledge and Data Engineering, 2003. [ bib | ] |
| [17] |
K. K. Loo, I. Tong, B. Kao, and D. Cheung.
Online Algorithms for Mining Inter-Stream Associations From Large
Sensor Networks.
In Proceedings of the Ninth Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD'05), Hanoi, Vietnam, May 2005. [ bib | ] |
| [18] |
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 ] |
| [19] |
M. Mazzucco, A. Ananthanarayan, R. Grossman, J. Levera, and G. Rao.
Merging Multiple Data Streams On Common Keys Over High Performance
Networks.
In Proceedings of the 2002 ACM/IEEE Conference on
Supercomputing, pages 1-12, Baltimore, MD, 2002. IEEE Computer Society
Press. [ bib | http://sc-2002.org/paperpdfs/pap.pap213.pdf ] |
| [20] |
C. Olston, J. Jiang, and J. Widom.
Adaptive filters for continuous queries over distributed data
streams.
In Proceedings of the 2003 ACM SIGMOD international conference
on Management of data, pages 563-574, San Diego, California, 2003. [ bib | http://www.cs.cmu.edu/~olston/publications/adaptive_filters.pdf ] |
| [21] |
M. Sayal and P. Scheuermann.
Distributed Web Log Mining Using Maximal Large Itemsets.
Knowledge and Information Systems, 3(4):389-404, 2001. [ bib | http://springerlink.metapress.com/app/home/contribution.asp?wasp=lp3eyvryrh2wt6qugt33&referrer=parent&backto=issue,1,6;journal,19,26;linkingpublicationresults,1:105441,1 ] |
| [22] |
B. W. Scotney, S. I. McClean, and M. C. Rodgers.
Optimal and Efficient Integration of Heterogeneous Summary Tables in
a Distributed Database.
Data and Knowledge Engineering, 29:337-350, 1999. [ bib | http://portal.acm.org/citation.cfm?id=311091 ] |
| [23] |
C. Shahabi, L. Khan, and D. McLeod.
A Probe-Based Technique to Optimize Join Queries in Distributed
Internet Databases.
Knowledge and Information Systems, 2(3):373-385, 2001. [ bib | http://www.utdallas.edu/~lkhan/papers/AAPTOJQDID_IJDMIGPv12n42001.pdf ] |
| [24] |
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 ] |
| [25] |
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 ] |
| [26] |
B. Yi, N. Sidiropoulos, T. Johnson, H. V. Jagadish, C. Faloutsos, and
A. Biliris.
Online Data Mining for Co-Evolving Time Sequences.
In Proceedings of the 2000 International Conference on Data
Engineering, pages 13-22, 2000. [ bib | http://reports-archive.adm.cs.cmu.edu/anon/1999/CMU-CS-99-171.pdf ] |
| [27] |
A. Zhou, F. Cao, Y. Yan, C. Sha, and X. He.
Distributed Data Stream Clustering: A Fast EM-based Approach.
In Proceedings of the IEEE International Conference on Data
Engineering (ICDE '07), pages 736-745, Istanbul, Turkey, 2007. [ bib | http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/4221634/4221635/04221722.pdf ] |
| [28] |
Y. Zhou, B. Chin Ooi, and K.-L. Tan.
Dynamic Load Management for Distributed Continuous Query Systems.
In Proceedings of the 21st International Conference on Data
Engineering (ICDE'05), Tokyo, Japan, April 2005. [ bib | http://www.comp.nus.edu.sg/~zhouyong/papers/icde05.pdf ] |