The 3W Model and Algebra for Unified Data Mining.

Theodore Johnson, Laks V. S. Lakshmanan, Raymond T. Ng: The 3W Model and Algebra for Unified Data Mining. VLDB 2000: 21-32
  author    = {Theodore Johnson and
               Laks V. S. Lakshmanan and
               Raymond T. Ng},
  editor    = {Amr El Abbadi and
               Michael L. Brodie and
               Sharma Chakravarthy and
               Umeshwar Dayal and
               Nabil Kamel and
               Gunter Schlageter and
               Kyu-Young Whang},
  title     = {The 3W Model and Algebra for Unified Data Mining},
  booktitle = {VLDB 2000, Proceedings of 26th International Conference on Very
               Large Data Bases, September 10-14, 2000, Cairo, Egypt},
  publisher = {Morgan Kaufmann},
  year      = {2000},
  isbn      = {1-55860-715-3},
  pages     = {21-32},
  ee        = {db/conf/vldb/LakshmananJN00.html},
  crossref  = {DBLP:conf/vldb/2000},
  bibsource = {DBLP,}


Copyright © 2000 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

Online Paper


Printed Edition

Amr El Abbadi, Michael L. Brodie, Sharma Chakravarthy, Umeshwar Dayal, Nabil Kamel, Gunter Schlageter, Kyu-Young Whang (Eds.): VLDB 2000, Proceedings of 26th International Conference on Very Large Data Bases, September 10-14, 2000, Cairo, Egypt. Morgan Kaufmann 2000, ISBN 1-55860-715-3
Contents BibTeX


Charu C. Aggarwal, Philip S. Yu: Online Generation of Association Rules. ICDE 1998: 402-411 BibTeX
Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, Prabhakar Raghavan: Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications. SIGMOD Conference 1998: 94-105 BibTeX
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conference 1993: 207-216 BibTeX
Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499 BibTeX
Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. SIGMOD Conference 1999: 49-60 BibTeX
Norbert Beckmann, Hans-Peter Kriegel, Ralf Schneider, Bernhard Seeger: The R*-Tree: An Efficient and Robust Access Method for Points and Rectangles. SIGMOD Conference 1990: 322-331 BibTeX
Michael Benedikt, Guozhu Dong, Leonid Libkin, Limsoon Wong: Relational Expressive Power of Constraint Query Languages. J. ACM 45(1): 1-34(1998) BibTeX
Sergey Brin, Rajeev Motwani, Craig Silverstein: Beyond Market Baskets: Generalizing Association Rules to Correlations. SIGMOD Conference 1997: 265-276 BibTeX
Surajit Chaudhuri: Data Mining and Database Systems: Where is the Intersection? IEEE Data Eng. Bull. 21(1): 4-8(1998) BibTeX
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim: SPIRIT: Sequential Pattern Mining with Regular Expression Constraints. VLDB 1999: 223-234 BibTeX
Jim Gray, Adam Bosworth, Andrew Layman, Hamid Pirahesh: Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total. ICDE 1996: 152-159 BibTeX
Antonin Guttman: R-Trees: A Dynamic Index Structure for Spatial Searching. SIGMOD Conference 1984: 47-57 BibTeX
Marc Gyssens, Jan Van den Bussche, Dirk Van Gucht: Complete Geometric Query Languages. J. Comput. Syst. Sci. 58(3): 483-511(1999) BibTeX
Jiawei Han, Yongjian Fu: Discovery of Multiple-Level Association Rules from Large Databases. VLDB 1995: 420-431 BibTeX
Christian Hidber: Online Association Rule Mining. SIGMOD Conference 1999: 145-156 BibTeX
Tomasz Imielinski, Heikki Mannila: A Database Perspective on Knowledge Discovery. Commun. ACM 39(11): 58-64(1996) BibTeX
H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava: What can Hierarchies do for Data Warehouses? VLDB 1999: 530-541 BibTeX
Theodore Johnson, Ivy Kwok, Raymond T. Ng: Fast Computation of 2-Dimensional Depth Contours. KDD 1998: 224-228 BibTeX
Paris C. Kanellakis, Gabriel M. Kuper, Peter Z. Revesz: Constraint Query Languages. J. Comput. Syst. Sci. 51(1): 26-52(1995) BibTeX
Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen, A. Inkeri Verkamo: Finding Interesting Rules from Large Sets of Discovered Association Rules. CIKM 1994: 401-407 BibTeX
Laks V. S. Lakshmanan, Raymond T. Ng, Jiawei Han, Alex Pang: Optimization of Constrained Frequent Set Queries with 2-variable Constraints. SIGMOD Conference 1999: 157-168 BibTeX
Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo: Discovery of Frequent Episodes in Event Sequences. Data Min. Knowl. Discov. 1(3): 259-289(1997) BibTeX
Rosa Meo, Giuseppe Psaila, Stefano Ceri: A New SQL-like Operator for Mining Association Rules. VLDB 1996: 122-133 BibTeX
Raymond T. Ng, Jiawei Han: Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB 1994: 144-155 BibTeX
Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Alex Pang: Exploratory Mining and Pruning Optimizations of Constrained Association Rules. SIGMOD Conference 1998: 13-24 BibTeX
Jan Paredaens, Jan Van den Bussche, Dirk Van Gucht: Towards a Theory of Spatial Database Queries. PODS 1994: 279-288 BibTeX
J. Ross Quinlan: Induction of Decision Trees. Machine Learning 1(1): 81-106(1986) BibTeX
Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal: Integrating Mining with Relational Database Systems: Alternatives and Implications. SIGMOD Conference 1998: 343-354 BibTeX
Craig Silverstein, Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman: Scalable Techniques for Mining Causal Structures. VLDB 1998: 594-605 BibTeX
Shalom Tsur, Jeffrey D. Ullman, Serge Abiteboul, Chris Clifton, Rajeev Motwani, Svetlozar Nestorov, Arnon Rosenthal: Query Flocks: A Generalization of Association-Rule Mining. SIGMOD Conference 1998: 1-12 BibTeX
Tian Zhang, Raghu Ramakrishnan, Miron Livny: BIRCH: An Efficient Data Clustering Method for Very Large Databases. SIGMOD Conference 1996: 103-114 BibTeX
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