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KDD
2004
ACM
151views Data Mining» more  KDD 2004»
15 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
2003
ACM
133views Data Mining» more  KDD 2003»
15 years 10 months ago
Interactive Analysis of Gene Interactions Using Graphical gaussian model
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Xintao Wu, Yong Ye, Kalpathi R. Subramanian
KDD
2003
ACM
146views Data Mining» more  KDD 2003»
15 years 10 months ago
Probabilistic discovery of time series motifs
Several important time series data mining problems reduce to the core task of finding approximately repeated subsequences in a longer time series. In an earlier work, we formalize...
Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonar...
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
15 years 10 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
15 years 7 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar