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Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Brain Babcock , Mayur Datar , Rajeev Motwani , Liadan O'Callaghan, Maintaining variance and k-medians over data stream windows, Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, p.234-243, June 09-11, 2003, San Diego, California
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Yabo Xu , Ke Wang , Ada Wai-Chee Fu , Rong She , Jian Pei, Classification spanning correlated data streams, Proceedings of the 15th ACM international conference on Information and knowledge management, November 06-11, 2006, Arlington, Virginia, USA
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Zhiyuan Chen , Chen Li , Jian Pei , Yufei Tao , Haixun Wang , Wei Wang , Jiong Yang , Jun Yang , Donghui Zhang, Recent progress on selected topics in database research: a report by nine young Chinese researchers working in the United States, Journal of Computer Science and Technology, v.18 n.5, p.538-552, September 2003
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Mohamed Medhat Gaber , Shonali Krishnaswamy , Arkady Zaslavsky, Cost-efficient mining techniques for data streams, Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation, p.109-114, January 01, 2004, Dunedin, New Zealand
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Charu C. Aggarwal , Jiawei Han , Jianyong Wang , Philip S. Yu, On demand classification of data streams, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, August 22-25, 2004, Seattle, WA, USA
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Graham Cormode , Theodore Johnson , Flip Korn , S. Muthukrishnan , Oliver Spatscheck , Divesh Srivastava, Holistic UDAFs at streaming speeds, Proceedings of the 2004 ACM SIGMOD international conference on Management of data, June 13-18, 2004, Paris, France
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Brian Babcock , Shivnath Babu , Mayur Datar , Rajeev Motwani , Jennifer Widom, Models and issues in data stream systems, Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, June 03-05, 2002, Madison, Wisconsin
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Haixun Wang , Jian Yin , Jian Pei , Philip S. Yu , Jeffrey Xu Yu, Suppressing model overfitting in mining concept-drifting data streams, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, August 20-23, 2006, Philadelphia, PA, USA
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Charu C. Aggarwal , Jiawei Han , Jianyong Wang , Philip S. Yu, A framework for projected clustering of high dimensional data streams, Proceedings of the Thirtieth international conference on Very large data bases, p.852-863, August 31-September 03, 2004, Toronto, Canada
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Charu C. Aggarwal , Jiawei Han , Jianyong Wang , Philip S. Yu, A framework for clustering evolving data streams, Proceedings of the 29th international conference on Very large data bases, p.81-92, September 09-12, 2003, Berlin, Germany
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Lior Cohen , Gil Avrahami-Bakish , Mark Last , Abraham Kandel , Oscar Kipersztok, Real-time data mining of non-stationary data streams from sensor networks, Information Fusion, v.9 n.3, p.344-353, July, 2008
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Lei Chang , Tengjiao Wang , Dongqing Yang , Hua Luan , Shiwei Tang, Efficient algorithms for incremental maintenance of closed sequential patterns in large databases, Data & Knowledge Engineering, v.68 n.1, p.68-106, January, 2009
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Larry Shoemaker , Robert E. Banfield , Lawrence O. Hall , Kevin W. Bowyer , W. Philip Kegelmeyer, Using classifier ensembles to label spatially disjoint data, Information Fusion, v.9 n.1, p.120-133, January, 2008
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Mohammad M. Masud , Jing Gao , Latifur Khan , Jiawei Han , Bhavani Thuraisingham, Peer to peer botnet detection for cyber-security: a data mining approach, Proceedings of the 4th annual workshop on Cyber security and informaiton intelligence research: developing strategies to meet the cyber security and information intelligence challenges ahead, May 12-14, 2008, Oak Ridge, Tennessee
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Tiancheng Zhang , Dejun Yue , Yu Gu , Yi Wang , Ge Yu, Adaptive correlation analysis in stream time series with sliding windows, Computers & Mathematics with Applications, v.57 n.6, p.937-948, March, 2009
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Thomas Seidl , Ira Assent , Philipp Kranen , Ralph Krieger , Jennifer Herrmann, Indexing density models for incremental learning and anytime classification on data streams, Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology, March 24-26, 2009, Saint Petersburg, Russia
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Bin Cao , Dou Shen , Jian-Tao Sun , Xuanhui Wang , Qiang Yang , Zheng Chen, Detect and track latent factors with online nonnegative matrix factorization, Proceedings of the 20th international joint conference on Artifical intelligence, p.2689-2694, January 06-12, 2007, Hyderabad, India
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Albert Bifet , Geoff Holmes , Bernhard Pfahringer , Richard Kirkby , Ricard Gavaldà, New ensemble methods for evolving data streams, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, June 28-July 01, 2009, Paris, France
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.2
DATABASE MANAGEMENT
H.2.8
Database applications
Subjects:
Data mining
Additional Classification:
G.
Mathematics of Computing
G.2
DISCRETE MATHEMATICS
G.2.2
Graph Theory
Subjects:
Trees
H.
Information Systems
H.4
INFORMATION SYSTEMS APPLICATIONS
H.4.2
Types of Systems
Subjects:
Decision support (e.g., MIS)
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.6
Learning
Subjects:
Concept learning
I.5
PATTERN RECOGNITION
I.5.2
Design Methodology
Subjects:
Classifier design and evaluation
General Terms:
Algorithms,
Design,
Management,
Measurement,
Performance,
Theory,
Verification
Keywords:
Hoeffding bounds,
decision trees,
disk-based algorithms,
incremental learning,
subsampling
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