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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 7 months ago
Co-evolution of social and affiliation networks
In our work, we address the problem of modeling social network generation which explains both link and group formation. Recent studies on social network evolution propose generati...
Elena Zheleva, Hossam Sharara, Lise Getoor
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
16 years 7 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
KDD
2006
ACM
147views Data Mining» more  KDD 2006»
16 years 7 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy
KDD
2005
ACM
73views Data Mining» more  KDD 2005»
16 years 7 months ago
Using relational knowledge discovery to prevent securities fraud
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
Özgür Simsek, David Jensen, Henry G. Gol...
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
16 years 7 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
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