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KDD
2004
ACM
151views Data Mining» more  KDD 2004»
14 years 10 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
2004
ACM
170views Data Mining» more  KDD 2004»
14 years 10 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
14 years 10 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
14 years 10 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
TEI
2010
ACM
114views Hardware» more  TEI 2010»
14 years 4 months ago
valeo: alienation gesture-enhanced tactile pain logging
In current healthcare research, pain logs are an important means to measure the impact of medication and to detect pain patterns. However, the entry of textual pain data may be ne...
Matthias Löwe, Omer Yosha, Alexander Krause, ...