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» Finding Interesting Associations without Support Pruning
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CSCW
2012
ACM
13 years 5 months ago
Organizing without formal organization: group identification, goal setting and social modeling in directing online production
A challenge for many online production communities is to direct their members to accomplish tasks that are important to the group, even when these tasks may not match individual m...
Haiyi Zhu, Robert Kraut, Aniket Kittur
SDM
2004
SIAM
174views Data Mining» more  SDM 2004»
14 years 11 months ago
Classifying Documents Without Labels
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
Daniel Barbará, Carlotta Domeniconi, Ning K...
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
15 years 10 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
CIKM
2008
Springer
15 years 1 days ago
Non-local evidence for expert finding
The task addressed in this paper, finding experts in an enterprise setting, has gained in importance and interest over the past few years. Commonly, this task is approached as an ...
Krisztian Balog, Maarten de Rijke
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
15 years 10 months ago
An association analysis approach to biclustering
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...