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Article

Design and Implementation of a Genetic-Based Algorithm for Data Mining

Published: 10 September 2000 Publication History

Abstract

No abstract available.

References

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{1} Rakesh Agrawal, Sakti P. Ghosh, Tomasz Imielinski, Balakrishna R. Iyer, Arun N. Swami: An Interval Classifier for Database Mining Applications. VLDB 1992: 560-573.
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{2} Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Database Mining: A Performance Perspective. IEEE Trans. Knowl. Data Eng. 5(6): 914-925(1993).
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{3} Sébastien Augier, Gilles Venturini, Yves Kodratoff: Learning First Order Logic Rules with a Genetic Algorithm. KDD 1995: 21-26.
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{4} Bhattacharyya, S., Direct Marketing Performance Modeling Using Genetic Algorithms, INFORMS journal on Computing, 11(3), 248-257, 1999.
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{5} Sunil Choenni, Arno Siebes: Query Optimization to Support Data Mining. DEXA Workshop 1997: 658-663.
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{6} Sunil Choenni: On the Suitability of Genetic-Based Algorithms for Data Mining. ER Workshops 1998: 55-67.
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{7} Ramez Elmasri, Shamkant B. Navathe: Fundamentals of Database Systems. Benjamin/Cummings 1989.
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{8} Ian W. Flockhart, Nicholas J. Radcliffe: A Genetic Algorithm-Based Approach to Data Mining. KDD 1996: 299-302.
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{9} Freitas, A., A Genetic Programming Framework for two Data Mining Tasks: Classification and Generalized Rule Induction, Conf on Genetic Programming, 1997, 96-101.
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{10} Attilio Giordana, Filippo Neri, Lorenza Saitta, Marco Botta: Integrating Multiple Learning Strategies in First Order Logics. Machine Learning 27(3): 209-240(1997).
[11]
{11} Groenheiden, E., A Genetic Data Mining Feasibility Study, internal report, University of Twente, The Netherlands.
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{12} Güvner, H., Akman, V., Problem Representation for Refinement, Minds and Machines 2(3), 1992, 267-282.
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{13} Jiawei Han, Yandong Cai, Nick Cercone: Knowledge Discovery in Databases: An Attribute-Oriented Approach. VLDB 1992: 547-559.
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{14} Marcel Holsheimer, Martin L. Kersten: Architectural Support for Data Mining. KDD Workshop 1994: 217-228.
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{15} Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs. Springer-Verlag, New York, USA.
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{16} Penning, H. de, Suurd, P., NLR Genetic Search Base, internal report, University of Twente, 1998.
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{17} John C. Shafer, Rakesh Agrawal, Manish Mehta: SPRINT: A Scalable Parallel Classifier for Data Mining. VLDB 1996: 544-555.
[18]
{18} Ramakrishnan Srikant, Rakesh Agrawal: Mining Quantitative Association Rules in Large Relational Tables. SIGMOD Conference 1996: 1-12.
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{19} Thierens, D., Goldberg, D., Elitist Recombination: an integrated selection recombination GA, in 1st IEEE Conf. on Evolutionary Computing, 1994, 508-512.

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Information

Published In

cover image DL Hosted proceedings
VLDB '00: Proceedings of the 26th International Conference on Very Large Data Bases
September 2000
724 pages

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 10 September 2000

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VLDB00: Very Large Data Bases
September 10 - 14, 2000

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View all
  • (2018)Exploiting Data Analytics for Social ServicesProceedings of the 11th International Conference on Theory and Practice of Electronic Governance10.1145/3209415.3209481(550-559)Online publication date: 4-Apr-2018
  • (2011)The "dark side" of information technologyProceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times10.1145/2037556.2037589(204-212)Online publication date: 12-Jun-2011
  • (2010)Crime statistics onlineProceedings of the 11th Annual International Digital Government Research Conference on Public Administration Online: Challenges and Opportunities10.5555/1809874.1809900(131-137)Online publication date: 17-May-2010
  • (2009)Analyzing a complaint database by means of a genetic-based data mining algorithmProceedings of the 12th International Conference on Artificial Intelligence and Law10.1145/1568234.1568266(226-227)Online publication date: 8-Jun-2009
  • (2006)Nature-Inspired approaches to mining trend patterns in spatial databasesProceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning10.1007/11875581_167(1407-1414)Online publication date: 20-Sep-2006

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