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ESANN
2004
13 years 8 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
ICCS
2003
Springer
14 years 20 days ago
Self-Organizing Hybrid Neurofuzzy Networks
Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Sung-Kwun Oh, Su-Chong Joo, Chang-Won Jeong, Hyun-...
IUI
2009
ACM
14 years 4 months ago
Learning to generalize for complex selection tasks
Selection tasks are common in modern computer interfaces: we are often required to select a set of files, emails, data entries, and the like. File and data browsers have sorting a...
Alan Ritter, Sumit Basu
SIGKDD
2002
232views more  SIGKDD 2002»
13 years 7 months ago
The True Lift Model - A Novel Data Mining Approach to Response Modeling in Database Marketing
In database marketing, data mining has been used extensively to find the optimal customer targets so as to maximize return on investment. In particular, using marketing campaign d...
Victor S. Y. Lo
SMC
2010
IEEE
139views Control Systems» more  SMC 2010»
13 years 5 months ago
Pin-pointing concept descriptions
In this study, the task of obtaining accurate and comprehensible concept descriptions of a specific set of production instances has been investigated. The suggested method, inspire...
Cecilia Sönströd, Ulf Johansson, Henrik ...