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» Toward knowledge-rich data mining
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130
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ICSE
2011
IEEE-ACM
14 years 7 months ago
Inferring better contracts
Considerable progress has been made towards automatic support for one of the principal techniques available to enhance program reliability: equipping programs with extensive contr...
Yi Wei, Carlo A. Furia, Nikolay Kazmin, Bertrand M...
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
16 years 4 months ago
User grouping behavior in online forums
Online forums represent one type of social media that is particularly rich for studying human behavior in information seeking and diffusing. The way users join communities is a re...
Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 4 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
144
Voted
ICDM
2010
IEEE
152views Data Mining» more  ICDM 2010»
15 years 1 months ago
Reviewer Profiling Using Sparse Matrix Regression
Thousands of scientific conferences happen every year, and each involves a laborious scientific peer review process conducted by one or more busy scientists serving as Technical/Sc...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos...
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 5 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...