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KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 6 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
KDD
2003
ACM
120views Data Mining» more  KDD 2003»
16 years 6 months ago
On detecting differences between groups
Understanding the differences between contrasting groups is a fundamental task in data analysis. This realization has led to the development of a new special purpose data mining t...
Geoffrey I. Webb, Shane M. Butler, Douglas A. Newl...
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
16 years 6 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
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
16 years 6 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
CHI
2007
ACM
16 years 6 months ago
Understanding and developing models for detecting and differentiating breakpoints during interactive tasks
The ability to detect and differentiate breakpoints during task execution is critical for enabling defer-to-breakpoint policies within interruption management. In this work, we ex...
Shamsi T. Iqbal, Brian P. Bailey