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» Adapting the Fitness Function in GP for Data Mining
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SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 9 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
AEI
2004
132views more  AEI 2004»
13 years 7 months ago
An adaptive website system to improve efficiency with web mining techniques
The paper proposes an adaptive web system--that is, a website that is capable of changing its original design to fit user requirements. For the purpose of improving shortcomings o...
Ji-Hyun Lee, Wei-Kun Shiu
ADMA
2009
Springer
145views Data Mining» more  ADMA 2009»
14 years 2 months ago
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 8 months ago
Robust boosting and its relation to bagging
Several authors have suggested viewing boosting as a gradient descent search for a good fit in function space. At each iteration observations are re-weighted using the gradient of...
Saharon Rosset
GPEM
2007
119views more  GPEM 2007»
13 years 7 months ago
Genomic mining for complex disease traits with "random chemistry"
Our rapidly growing knowledge regarding genetic variation in the human genome offers great potential for understanding the genetic etiology of disease. This, in turn, could revolut...
Margaret J. Eppstein, Joshua L. Payne, Bill C. Whi...