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KDD
2003
ACM
135views Data Mining» more  KDD 2003»
16 years 4 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
186views Data Mining» more  KDD 2002»
16 years 4 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 ...
KDD
2001
ACM
124views Data Mining» more  KDD 2001»
16 years 4 months ago
Tri-plots: scalable tools for multidimensional data mining
We focus on the problem of finding patterns across two large, multidimensional datasets. For example, given feature vectors of healthy and of non-healthy patients, we want to answ...
Agma J. M. Traina, Caetano Traina Jr., Spiros Papa...
CHI
2008
ACM
16 years 4 months ago
Experience sampling for building predictive user models: a comparative study
Experience sampling has been employed for decades to collect assessments of subjects' intentions, needs, and affective states. In recent years, investigators have employed au...
Ashish Kapoor, Eric Horvitz
CHI
2007
ACM
16 years 4 months ago
Understanding videowork
In this paper we elucidate the patterns of behavior of home movie makers through a study of 12 families and a separate focus group of 7 teenagers. Analogous to a similar study of ...
David S. Kirk, Abigail Sellen, Richard H. R. Harpe...