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WWW
2007
ACM
16 years 7 months ago
A clustering method for web data with multi-type interrelated components
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
WWW
2007
ACM
16 years 7 months ago
Understanding web search via a learning paradigm
Investigating whether one can view Web searching as a learning process, we examined the searching characteristics of 41 participants engaged in 246 searching tasks. We classified ...
Bernard J. Jansen, Brian Keith Smith, Danielle L. ...
WWW
2006
ACM
16 years 7 months ago
Visualizing tags over time
We consider the problem of visualizing the evolution of tags within the Flickr (flickr.com) online image sharing community. Any user of the Flickr service may append a tag to any ...
Micah Dubinko, Ravi Kumar, Joseph Magnani, Jasmine...
RECOMB
2009
Springer
16 years 7 months ago
COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study
The availability of high density single nucleotide polymorphisms (SNPs) data has made genome-wide association study computationally challenging. Twolocus epistasis (gene-gene inter...
Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wa...
KDD
2005
ACM
142views Data Mining» more  KDD 2005»
16 years 7 months ago
Towards exploratory test instance specific algorithms for high dimensional classification
In an interactive classification application, a user may find it more valuable to develop a diagnostic decision support method which can reveal significant classification behavior...
Charu C. Aggarwal