Mining Data Streams
Bibliography
Maintained
by: Mohamed Medhat Gaber
If you would like to submit any related paper to be added to this bibliography, please send an email to:
mohamed.m.gaber (-at-) gmail.com
Researchers in Data
Stream Mining
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Aggarwal, An Intuitive Framework for Understanding Changes
in Evolving Data Streams, Proceedings of the ICDE Conference, 2002.
[Agg03] C. Aggarwal, A Framework for Diagnosing Changes in Evolving Data Streams,
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[AHW03]
C. Aggarwal, J. Han, J. Wang, P. S. Yu, A
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C. Aggarwal, J. Han, J. Wang, and P. S. Yu, A
Framework for Projected Clustering of High Dimensional Data Streams,
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2004.
[AHW04b]
C. Aggarwal, J. Han, J. Wang, and P. S. Yu, On
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[BDM03a]
B. Babcock, M. Datar, and R. Motwani. Load Shedding
Techniques for Data Stream Systems (short paper) In Proc. of
the 2003 Workshop on Management and Processing of Data Streams (MPDS 2003),
June 2003
[BDM03b]
B. Babcock, M. Datar, R. Motwani, L. O'Callaghan: Maintaining
Variance and k-Medians over Data Stream Windows, to appear in
Proceedings of the 22nd Symposium on Principles of Database Systems (PODS 2003)
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Beringer and
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M. Burl, Ch. Fowlkes, J. Roden, A. Stechert, and S. Mukhtar, Diamond Eye: A distributed architecture for image data mining,
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[BGK04]
Ben-David, S, Johannes Gehrke and Daniel Kifer, Detecting
Change in Data Streams, Proceedings of VLDB 2004.
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Bhargava, H. Kargupta, and M. Powers, Energy
Consumption in Data Analysis for On-board and Distributed Applications,
Proceedings of the ICML'03 workshop on Machine Learning Technologies for
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Charikar, K. Chen and M. Farach-Colton. Finding
Frequent Items in Data Streams. International Colloquium on
Automata,Languages, and Programming (ICALP '02) 508--515.
[CCP03]
M. Charikar, L. O'Callaghan, and R. Panigrahy. Better streaming algorithms for
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Theory of Computing (STOC), 2003.
[CCP04]
Y. D. Cai, D. Clutter, G. Pape, J. Han, M. Welge, and L. Auvil, MAIDS: Mining Alarming Incidents from Data Streams, (system
demonstration), Proc. 2004 ACM-SIGMOD Int. Conf. Management of Data
(SIGMOD'04), Paris, France, June 2004.
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[CEZ06] F Cao, M Ester,
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C.Zaniolo, Fast and light boosting for adaptive
mining of data streams, in Proc. of the 5th Pacific-Asic Conference
on Knowledge Discovery and Data Mining (PAKDD), Sydney, May 2004.
[CMM02] Liadan
O'Callaghan, Nina Mishra, Adam Meyerson, Sudipto Guha, and Rajeev Motwani. Streaming-data algorithms for high-quality clustering.
Proceedings of IEEE International Conference on Data Engineering, March 2002.
[CoM03] G. Cormode, S.
Muthukrishnan What's hot and what's not: tracking
most frequent items dynamically. PODS 2003: 296-306
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and
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Chen, K. Reddy, and G. Agrawal, GATES: A Grid-Based
Middleware for Processing Distributed Data Streams, in proceedings
of Conference on High Performance Distributed Computing (HPDC), 2004.
[CYW05]
Yun Chi, Philip S. Yu, Haixun Wang, Richard R. Muntz, Loadstar: A Load Shedding Scheme for Classifying Data Streams,
The 2005 SIAM International Conference on Data Mining (SIAM SDM'05), 2005.
[DCP04] Y. Dora Cai, D. Clutter, G.
Pape, J. Han, M. Welge, L. Auvil. MAIDS: Mining Alarming Incidents from Data Streams.
Proceedings of the 23rd ACM SIGMOD (International Conference on Management of
Data), June 13-18, 2004,
[DDP02]
Q. Ding, Q. Ding, and W. Perrizo, Decision Tree Classification of Spatial Data Streams
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Computing, Madrid, Spain, March 2002, pp. 413417.
[DGI02]
Mayur Datar, Aristides Gionis, Piotr Indyk, Rajeev Motwani: Maintaining Stream Statistics Over Sliding Windows (Extended
Abstract) in Proceedings of 13th Annual ACM-SIAM Symposium on
Discrete Algorithms (SODA 2002).
[DGR03] Abhinandan Das, Johannes Gehrke and Mirek Riedewald, Approximate Join Processing Over Data Streams, Proc. of the 2003 ACM SIGMOD International Conference on Management of Data, 2003.
[DoH00]
P. Domingos and G. Hulten. Mining High-Speed Data
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P. Domingos and G. Hulten, A General Method for
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[DHL03]
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Wei Fan, Yi-an Huang, Haixun Wang, and Philip S. Yu, Active Mining of Data Streams, Proceedings of SIAM
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[GGR02a]
V. Ganti, Johannes Gehrke, Raghu Ramakrishnan: Mining
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[GGR02b]
M. Garofalakis, Johannes Gehrke, Rajeev Rastogi: Querying
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[GhP04]
Amol Ghoting and Srinivasan Parthasarathy, Facilitating
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Systems (IPDPS), April 2004.
[GKM03] Anna C. Gilbert, Yannis Kotidis, S. Muthukrishnan, Martin Strauss: One-Pass Wavelet Decompositions of Data Streams. TKDE 15(3): 541-554 (2003)
[GKZ03] Gaber, M,
M., Krishnaswamy, S., and Zaslavsky, A., Adaptive
Mining Techniques for Data Streams Using Algorithm Output Granularity,
The Australasian Data Mining Workshop (AusDM 2003), Held in conjunction with
the 2003 Congress on Evolutionary Computation (CEC 2003), December, Canberra,
Australia, Springer Verlag, Lecture Notes in Computer Science (LNCS).
[GKZ04a] Gaber,
M. M., Krishnaswamy, S. and Zaslavsky, A. (2004). Cost-Efficient
Mining Techniques for Data Streams. In Proc. Australasian Workshop
on Data Mining and Web Intelligence (DMWI2004),
[GKZ04b]
Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., (2004), A Wireless Data Stream Mining Model, Accepted for
publication in the Third International Workshop on Wireless Information Systems
(WIS 2004), Held in conjunction with the Sixth International Conference on
Enterprise Information Systems (ICEIS 2004), Porto, Portugal, April 13-14,
ICEIS Press, ISBN.
[GKZ04c]
Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., Ubiquitous Data Stream
Mining, Current Research and Future Directions Workshop Proceedings
held in conjunction with The Eighth Pacific-Asia Conference on Knowledge
Discovery and Data Mining,
[GKZ05] Gaber,
M, M., Krishnaswamy, S., and Zaslavsky, A., (2005), On-board
Mining of Data Streams in Sensor Networks, Accepted as a chapter in
the forthcoming book Advanced Methods of Knowledge Discovery from Complex Data,
(Eds.) Sanghamitra Badhyopadhyay, Ujjwal Maulik, Lawrence Holder and Diane
Cook, Springer Verlag.
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S. Guha, N. Mishra, R. Motwani, and L. O'Callaghan. Clustering
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Mining High-Speed Data Streams, Proceedings of the Ninth
International Conference on Knowledge Discovery and Data Mining, Edited by
P.Domingos and C. Faloutsos, ACM Press, 2003.
[GZK04a] Gaber, M, M., Zaslavsky, A., and
Krishnaswamy, S., (2004),
A
Cost-Efficient Model for Ubiquitous Data Stream Mining, in the Tenth International
Conference on Information Processing and Management of Uncertainty in
Knowledge-Based Systems (IPMU 2004), Perugia Italy, July 4-9.
[GZK04b]
Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., Towards an Adaptive
Approach for Mining Data Streams in Resource Constrained Environments,
in the Proceedings of Sixth International Conference on Data Warehousing and
Knowledge Discovery - Industry Track, Zaragoza, Spain, 30 August - 3 September,
Lecture Notes in Computer Science (LNCS), Springer Verlag.
[GZK04c] Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., Resource-Aware Knowledge Discovery in Data Streams, Accepted for publication in the Proceedings of First International Workshop on Knowledge Discovery in Data Streams, to be held in conjunction with the 15th European Conference on Machine Learning (ECML 2004) and the 8th European Conference on the Principals and Practice of Knowledge Discovery in Databases (PKDD 2004), Pisa, Italy, 20-24 September 2004.
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August 2003.
Dr. Eamonn Keogh is maintaining the largest Time Series Datasets
Last updated: March 26, 2008.