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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 7 months ago
Multi-focal learning and its application to customer service support
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo...
KDD
2008
ACM
206views Data Mining» more  KDD 2008»
16 years 7 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
16 years 7 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 7 months ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea
CHI
2005
ACM
16 years 7 months ago
Artful systems in the home
In this paper we introduce the idea of organizing systems. Through a number of examples from an ongoing ethnographic study of family life, we suggest that organizing systems come ...
Alex S. Taylor, Laurel Swan
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