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CHI
2009
ACM
16 years 7 months ago
Extraordinary computing: religion as a lens for reconsidering the home
We present results from a study examining how American Protestant Christians' faith affects their domestic life. There are two contributions of this work for the HCI communit...
Susan Wyche, Rebecca E. Grinter
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
16 years 7 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
16 years 7 months ago
Identifying "best bet" web search results by mining past user behavior
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...
Eugene Agichtein, Zijian Zheng
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 7 months ago
Semi-supervised time series classification
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
Li Wei, Eamonn J. Keogh
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 7 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis