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A database perspective on knowledge discovery
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Volume 39 ,  Issue 11  (November 1996) table of contents
Pages: 58 - 64  
Year of Publication: 1996
ISSN:0001-0782
Authors
Tomasz Imielinski  Department of Computer Science, Rutgers University, New Brunswick, N.J.
Heikki Mannila  University of Helsinki, Finland
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 15,   Downloads (12 Months): 175,   Citation Count: 45
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REFERENCES

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.

1
Rakesh Agrawal , Tomasz Imieliński , Arun Swami, Mining association rules between sets of items in large databases, Proceedings of the 1993 ACM SIGMOD international conference on Management of data, p.207-216, May 25-28, 1993, Washington, D.C., United States
 
2
R. Agrawal , T. Imielinski , A. Swami, Database Mining: A Performance Perspective, IEEE Transactions on Knowledge and Data Engineering, v.5 n.6, p.914-925, December 1993  [doi>10.1109/69.250074 ]
 
3
Rakesh Agrawal , Heikki Mannila , Ramakrishnan Srikant , Hannu Toivonen , A. Inkeri Verkamo, Fast discovery of association rules, Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, 1996
 
4
Agrawal, R. and Shim, K. Developing tightly-coupled data mining applications on a relational database system. In Proceedings of the 2nd International Conference on Knowledge Discovery in Databases and Data Mining (Montreal, Canada), Aug. 1996, pp. 287-290.
 
5
De Raedt, L. and Bruynooghe, M. A theory of clausal discovery. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI-93), Morgan and Kaufmann, 1993, pp. 1058-1053.
 
6
Fayyad, U. M., Smyth, P., Weir, N., and Djorgovski, S. Automated analysis and exploration of large image databases: Results, progress, and challenges.J, lntell. Info. Syst. 4, (1995), 7-25.
 
7
Jim Gray , Adam Bosworth , Andrew Layman , Hamid Pirahesh, Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total, Proceedings of the Twelfth International Conference on Data Engineering, p.152-159, February 26-March 01, 1996
 
8
Kimmo Hätönen , Mika Klemettinen , Heikki Mannila , Pirjo Ronkainen , Hannu Toivonen, Knowledge Discovery from Telecommunication Network Alarm Databases, Proceedings of the Twelfth International Conference on Data Engineering, p.115-122, February 26-March 01, 1996
 
9
Imielinski, T. Hirsh, H. Query-based approach to database mining. Technical report, Rutgers University, Dec. 1993.
 
10
Imielinski, T., Virmani, A., and Abdulghani, A. Disovery board application programming interface and query language for database mining. In Proceedings of KDD96 (Portland, Ore.), Aug. 1996, pp. 20-26.
 
11
Rosa Meo , Giuseppe Psaila , Stefano Ceri, A New SQL-like Operator for Mining Association Rules, Proceedings of the 22th International Conference on Very Large Data Bases, p.122-133, September 03-06, 1996
 
12
Ashoka Savasere , Edward Omiecinski , Shamkant B. Navathe, An Efficient Algorithm for Mining Association Rules in Large Databases, Proceedings of the 21th International Conference on Very Large Data Bases, p.432-444, September 11-15, 1995
 
13
Wei-Min Shen , KayLiang Ong , Bharat Mitbander , Carlo Zaniolo, Metaqueries for data mining, Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, 1996

CITED BY  45
 
Tomasz Imieliński , Aashu Virmani, MSQL: A Query Language for Database Mining, Data Mining and Knowledge Discovery, v.3 n.4, p.373-408, December 1999
 
Jiawei Han , Laks V. S. Lakshmanan , Raymond T. Ng, Constraint-Based, Multidimensional Data Mining, Computer, v.32 n.8, p.46-50, August 1999
Bing Liu , Alexander Tuzhilin, Managing large collections of data mining models, Communications of the ACM, v.51 n.2, p.85-89, February 2008
Raymond Ng , Laks V. S. Lakshmanan , Jiawei Han , Teresa Mah, Exploratory mining via constrained frequent set queries, ACM SIGMOD Record, v.28 n.2, p.556-558, June 1999
Rosa Meo, Optimization of a language for data mining, Proceedings of the 2003 ACM symposium on Applied computing, March 09-12, 2003, Melbourne, Florida
 
Tomasz Imieliński , Aashu Virmani , Amin Abdulghani, DMajor—Application Programming Interface for Database Mining, Data Mining and Knowledge Discovery, v.3 n.4, p.347-372, December 1999
Cyrille Masson , Céline Robardet , Jean-François Boulicaut, Optimizing subset queries: a step towards SQL-based inductive databases for itemsets, Proceedings of the 2004 ACM symposium on Applied computing, March 14-17, 2004, Nicosia, Cyprus
 
A. Romei , M. Sciolla , F. Turini , M. Valentini, Distributed knowledge discovery with the parallel KDDML system, Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks, p.204-211, February 14-16, 2006, Innsbruck, Austria
Baptiste Jeudy , Christine Largeron , François Jacquenet, A model for managing collections of patterns, Proceedings of the 2007 ACM symposium on Applied computing, March 11-15, 2007, Seoul, Korea
Laks V. S. Lakshmanan , Raymond Ng , Jiawei Han , Alex Pang, Optimization of constrained frequent set queries with 2-variable constraints, ACM SIGMOD Record, v.28 n.2, p.157-168, June 1999
Ingolf Geist, A framework for data mining and KDD, Proceedings of the 2002 ACM symposium on Applied computing, March 11-14, 2002, Madrid, Spain
Stefan Kramer , Luc De Raedt , Christoph Helma, Molecular feature mining in HIV data, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, p.136-143, August 26-29, 2001, San Francisco, California
Nikhil S. Ketkar , Lawrence B. Holder , Diane J. Cook, Comparison of graph-based and logic-based multi-relational data mining, ACM SIGKDD Explorations Newsletter, v.7 n.2, p.64-71, December 2005
Takashi Washio , Hiroshi Motoda, State of the art of graph-based data mining, ACM SIGKDD Explorations Newsletter, v.5 n.1, July 2003
Glen Jeh , Jennifer Widom, Mining the space of graph properties, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, August 22-25, 2004, Seattle, WA, USA
Raymond T. Ng , Laks V. S. Lakshmanan , Jiawei Han , Alex Pang, Exploratory mining and pruning optimizations of constrained associations rules, ACM SIGMOD Record, v.27 n.2, p.13-24, June 1998
Jean-François Boulicaut , Patrick Marcel , Christophe Rigotti, Query driven knowledge discovery in multidimensional data, Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP, p.87-93, November 02-06, 1999, Kansas City, Missouri, United States
Lei Chen , Zheng Huang , Raghu Ramakrishnan, Cost-based labeling of groups of mass spectra, Proceedings of the 2004 ACM SIGMOD international conference on Management of data, June 13-18, 2004, Paris, France
Sunita Sarawagi , Shiby Thomas , Rakesh Agrawal, Integrating association rule mining with relational database systems: alternatives and implications, ACM SIGMOD Record, v.27 n.2, p.343-354, June 1998
Heikki Mannila, Theoretical frameworks for data mining, ACM SIGKDD Explorations Newsletter, v.1 n.2, January 2000
 
Roberto Esposito , Rosa Meo , Marco Botta, Answering constraint-based mining queries on itemsets using previous materialized results, Journal of Intelligent Information Systems, v.26 n.1, p.95-111, January 2006
Siegfried Nijssen , Elisa Fromont, Mining optimal decision trees from itemset lattices, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, August 12-15, 2007, San Jose, California, USA
 
Baptiste Jeudy , Jean-François Boulicaut, Optimization of association rule mining queries, Intelligent Data Analysis, v.6 n.4, p.341-357, September 2002
 
Sunita Sarawagi , Shiby Thomas , Rakesh Agrawal, Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications, Data Mining and Knowledge Discovery, v.4 n.2-3, p.89-125, July 2000
 
Kok-Leong Ong , Wee-Keong Ng , Ee-Peng Lim, CrystalBall: a framework for mining variants of association rules, Proceedings of the fourteenth Australasian database conference, p.85-94, February 01, 2003, Adelaide, Australia
Ieva Mitasiunaite , Jean-François Boulicaut, Looking for monotonicity properties of a similarity constraint on sequences, Proceedings of the 2006 ACM symposium on Applied computing, April 23-27, 2006, Dijon, France
 
Witold Pedrycz , Andrzej Skowron, Fuzzy and rough sets, Handbook of data mining and knowledge discovery, Oxford University Press, Inc., New York, NY, 2002
 
Rosa Meo , Giuseppe Psaila , Stefano Ceri, An Extension to SQL for Mining Association Rules, Data Mining and Knowledge Discovery, v.2 n.2, p.195-224, June 1998
 
İlhan Uysal , H. Altay Güvenir, An overview of regression techniques for knowledge discovery, The Knowledge Engineering Review, v.14 n.4, p.319-340, December 1999
Riadh Ben Messaoud , Omar Boussaid , Sabine Rabaséda, A new OLAP aggregation based on the AHC technique, Proceedings of the 7th ACM international workshop on Data warehousing and OLAP, November 12-13, 2004, Washington, DC, USA
 
Naren Ramakrishnan , Calvin J. Ribbens, Mining and visualizing recommendation spaces for PDE solvers: the continuous attributes case, Computational science, mathematics and software, Purdue University Press, West Lafayette, IN, 2002
Naren Ramakrishnan , Calvin J. Ribbens, Mining and visualizing recommendation spaces for elliptic PDEs with continuous attributes, ACM Transactions on Mathematical Software (TOMS), v.26 n.2, p.254-273, June 2000
 
Manolis Terrovitis , Panos Vassiliadis , Spiros Skiadopoulos , Elisa Bertino , Barbara Catania , Anna Maddalena , Stefano Rizzi, Modeling and language support for the management of pattern-bases, Data & Knowledge Engineering, v.62 n.2, p.368-397, August, 2007
 
Yee Leung , Jiang-Hong Ma , Wen-Xiu Zhang, A New Method for Mining Regression Classes in Large Data Sets, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.23 n.1, p.5-21, January 2001
 
Theodore Johnson , Laks V. S. Lakshmanan , Raymond T. Ng, The 3W Model and Algebra for Unified Data Mining, Proceedings of the 26th International Conference on Very Large Data Bases, p.21-32, September 10-14, 2000
Toon Calders , Laks V. S. Lakshmanan , Raymond T. Ng , Jan Paredaens, Expressive power of an algebra for data mining, ACM Transactions on Database Systems (TODS), v.31 n.4, p.1169-1214, December 2006
 
Heikki Mannila , Hannu Toivonen, Levelwise Search and Borders of Theories in KnowledgeDiscovery, Data Mining and Knowledge Discovery, v.1 n.3, p.241-258, 1997
 
S. K. Gupta , V. Bhatnagar , S. K. Wasan, Architecture for knowledge discovery and knowledge management, Knowledge and Information Systems, v.7 n.3, p.310-336, March 2005
 
Filip Železný , Nada Lavrač, Propositionalization-based relational subgroup discovery with RSD, Machine Learning, v.62 n.1-2, p.33-63, February 2006
Venkatesh Ganti , Johannes Gehrke , Raghu Ramakrishnan, A framework for measuring changes in data characteristics, Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, p.126-137, May 31-June 03, 1999, Philadelphia, Pennsylvania, United States
 
Fosca Giannotti , Giuseppe Manco , Franco Turini, Specifying Mining Algorithms with Iterative User-Defined Aggregates, IEEE Transactions on Knowledge and Data Engineering, v.16 n.10, p.1232-1246, October 2004
Luc De Raedt, A perspective on inductive databases, ACM SIGKDD Explorations Newsletter, v.4 n.2, p.69-77, December 2002
 
Julien Blanchard , Bruno Pinaud , Pascale Kuntz , Fabrice Guillet, Visual Analytics: A 2D-3D visualization support for human-centered rule mining, Computers and Graphics, v.31 n.3, p.350-360, June, 2007
William A. Maniatty , Mohammed J. Zaki, Systems support for scalable data mining, ACM SIGKDD Explorations Newsletter, v.2 n.2, p.56-65, Dec. 2000
 
Julien Blanchard , Fabrice Guillet , Henri Briand, Interactive visual exploration of association rules with rule-focusing methodology, Knowledge and Information Systems, v.13 n.1, p.43-75, September 2007

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT

Additional Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.4 Systems
          Subjects: Query processing
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)


General Terms:
Design, Management, Theory

Collaborative Colleagues:
Tomasz Imielinski: colleagues
Heikki Mannila: colleagues

Peer to Peer - Readers of this Article have also read:

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