Editorial: Data Mining Lessons Learned: Special Issue: Data Mining Lessons Learned (Guest Editors: Nada Lavrač, Hiroshi Motoda and Tom Fawcett)

By Lavrač Nada  

Machine Learning, Vol. 57, Iss. 1-2, 2004-10 ,pp. : 5-11

Springer Publishing Company

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A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000: Special Issue: Data Mining Lessons Learned (Guest Editors: Nada Lavrač, Hiroshi Motoda and Tom Fawcett)

By van der Putten Peter  

Machine Learning, Vol. 57, Iss. 1-2, 2004-10 ,pp. : 177-195

Springer Publishing Company

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Learning to Decode Cognitive States from Brain Images: Special Issue: Data Mining Lessons Learned (Guest Editors: Nada Lavrač, Hiroshi Motoda and Tom Fawcett)

By Mitchell Tom M.  

Machine Learning, Vol. 57, Iss. 1-2, 2004-10 ,pp. : 145-175

Springer Publishing Company

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Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving: Special Issue: Data Mining Lessons Learned (Guest Editors: Nada Lavrač, Hiroshi Motoda and Tom Fawcett)

By Lavrač Nada  

Machine Learning, Vol. 57, Iss. 1-2, 2004-10 ,pp. : 13-34

Springer Publishing Company

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Lessons and Challenges from Mining Retail E-Commerce Data: Special Issue: Data Mining Lessons Learned (Guest Editors: Nada Lavrač, Hiroshi Motoda and Tom Fawcett)

By Kohavi Ron  

Machine Learning, Vol. 57, Iss. 1-2, 2004-10 ,pp. : 83-113

Springer Publishing Company

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