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Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving
Authors:Nada Lavra?  Hiroshi Motoda  Tom Fawcett  Robert Holte  Pat Langley  Pieter Adriaans
Affiliation:1. Institute Jo?ef Stefan, Jamova 39, 1000, Ljubljana, Slovenia
2. Nova Gorica Polytechnic, Vipavska 13, 5000, Nova Gorica, Slovenia
3. Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan
4. Hewlett-Packard Labs, 1501 Page Mill Rd., Palo Alto, CA, 94304, USA
5. Computing Science Department, University of Alberta, Edmonton, Alberta, Canada, T6G 2E8
6. Computational Learning Laboratory, Center for the Study of Language & Information, Stanford University, Stanford, CA, 94305, USA
7. Institute for Language Logic and Computation, Plantage Muidergracht 24, 1018 TV, Amsterdam, The Netherlands
Abstract:This introductory paper to the special issue on Data Mining Lessons Learned presents lessons from data mining applications, including experience from science, business, and knowledge management in a collaborative data mining setting.
Keywords:
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