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Querying and mining data streams: you only get one look a tutorial
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Source International Conference on Management of Data archive
Proceedings of the 2002 ACM SIGMOD international conference on Management of data table of contents
Madison, Wisconsin
TUTORIAL SESSION: Tutorial 1 table of contents
Pages: 635 - 635  
Year of Publication: 2002
ISBN:1-58113-497-5
Authors
Minos Garofalakis  Bell Labs, Lucent
Johannes Gehrke  Cornell University
Rajeev Rastogi  Bell Labs, Lucent
Sponsor
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 13,   Downloads (12 Months): 201,   Citation Count: 28
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CITED BY  28
Lukasz Golab , M. Tamer Özsu, Issues in data stream management, ACM SIGMOD Record, v.32 n.2, p.5-14, June 2003
Like Gao , Min Wang , X. Sean Wang , Sriram Padmanabhan, A learning-based approach to estimate statistics of operators in continuous queries: a case study, Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, June 13-13, 2003, San Diego, California
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
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
Abhinandan Das , Johannes Gehrke , Mirek Riedewald, Semantic Approximation of Data Stream Joins, IEEE Transactions on Knowledge and Data Engineering, v.17 n.1, p.44-59, January 2005
Joong Hyuk Chang , Won Suk Lee, Efficient mining method for retrieving sequential patterns over online data streams, Journal of Information Science, v.31 n.5, p.420-432, October 2005
Graham Cormode , S. Muthukrishnan, An improved data stream summary: the count-min sketch and its applications, Journal of Algorithms, v.55 n.1, p.58-75, April 2005
Graham Cormode , S. Muthukrishnan , Irina Rozenbaum, Summarizing and mining inverse distributions on data streams via dynamic inverse sampling, Proceedings of the 31st international conference on Very large data bases, August 30-September 02, 2005, Trondheim, Norway
Graham Cormode , S. Muthukrishnan, Space efficient mining of multigraph streams, Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, June 13-15, 2005, Baltimore, Maryland
Graham Cormode , S. Muthukrishnan, What's hot and what's not: tracking most frequent items dynamically, ACM Transactions on Database Systems (TODS), v.30 n.1, p.249-278, March 2005
Graham Cormode , S. Muthukrishnan, What's new: finding significant differences in network data streams, IEEE/ACM Transactions on Networking (TON), v.13 n.6, p.1219-1232, December 2005
Ming-Jyh Hsieh , Ming-Syan Chen , Philip S. Yu, Integrating DCT and DWT for approximating cube streams, Proceedings of the 14th ACM international conference on Information and knowledge management, October 31-November 05, 2005, Bremen, Germany
Jon Kleinberg, Bursty and Hierarchical Structure in Streams, Data Mining and Knowledge Discovery, v.7 n.4, p.373-397, October 2003
Mohamed Medhat Gaber , Arkady Zaslavsky , Shonali Krishnaswamy, Mining data streams: a review, ACM SIGMOD Record, v.34 n.2, June 2005
Jürgen Beringer , Eyke Hüllermeier, Online clustering of parallel data streams, Data & Knowledge Engineering, v.58 n.2, p.180-204, August 2006
Foto N. Afrati , Paraskevas V. Lekeas , Chen Li, Adaptive-sampling algorithms for answering aggregation queries on Web sites, Data & Knowledge Engineering, v.64 n.2, p.462-490, February, 2008
Yu-Kuen Lai , Gregory T. Byrd, High-throughput sketch update on a low-power stream processor, Proceedings of the 2006 ACM/IEEE symposium on Architecture for networking and communications systems, December 03-05, 2006, San Jose, California, USA
Alice Marascu , Florent Masseglia, Mining sequential patterns from data streams: a centroid approach, Journal of Intelligent Information Systems, v.27 n.3, p.291-307, November 2006
Wei-Guang Teng , Ming-Syan Chen , Philip S. Yu, A regression-based temporal pattern mining scheme for data streams, Proceedings of the 29th international conference on Very large data bases, p.93-104, September 09-12, 2003, Berlin, Germany
Xuan Hong Dang , Wee-Keong Ng , Kok-Leong Ong , Vincent C S Lee, Discovering frequent sets from data streams with CPU constraint, Proceedings of the sixth Australasian conference on Data mining and analytics, December 03-04, 2007, Gold Coast, Australia
Edwin Lughofer, Extensions of vector quantization for incremental clustering, Pattern Recognition, v.41 n.3, p.995-1011, March, 2008
Yixin Chen , Li Tu, Density-based clustering for real-time stream data, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, August 12-15, 2007, San Jose, California, USA
James Cheng , Yiping Ke , Wilfred Ng, Maintaining frequent closed itemsets over a sliding window, Journal of Intelligent Information Systems, v.31 n.3, p.191-215, December 2008
Piotr Indyk, Explicit constructions for compressed sensing of sparse signals, Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms, p.30-33, January 20-22, 2008, San Francisco, California
Jürgen Beringer , Eyke Hüllermeier, Efficient instance-based learning on data streams, Intelligent Data Analysis, v.11 n.6, p.627-650, December 2007
Ming-Jyh Hsieh , Ming-Syan Chen , Philip S. Yu, Approximate Query Processing in Cube Streams, IEEE Transactions on Knowledge and Data Engineering, v.19 n.11, p.1557-1570, November 2007
Xuan Hong Dang , Wee-Keong Ng , Kok-Leong Ong, Online mining of frequent sets in data streams with error guarantee, Knowledge and Information Systems, v.16 n.2, p.245-258, July 2008
James Cheng , Yiping Ke , Wilfred Ng, A survey on algorithms for mining frequent itemsets over data streams, Knowledge and Information Systems, v.16 n.1, p.1-27, July 2008

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Query formulation

Additional Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.4 Systems
          Subjects: Query processing
      H.2.8 Database applications
          Subjects: Data mining


General Terms:
Algorithms, Documentation, Theory

Collaborative Colleagues:
Minos Garofalakis: colleagues
Johannes Gehrke: colleagues
Rajeev Rastogi: colleagues

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