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KDD
2004
ACM
151views Data Mining» more  KDD 2004»
14 years 8 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
KDD
2002
ACM
186views Data Mining» more  KDD 2002»
14 years 8 months ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
14 years 2 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
ICSE
2009
IEEE-ACM
14 years 2 months ago
Test selection for result inspection via mining predicate rules
It is labor-intensive to manually verify the outputs of a large set of tests that are not equipped with test oracles. Test selection helps to reduce this cost by selecting a small...
Wujie Zheng, Michael R. Lyu, Tao Xie