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» Using Data Mining in MURA Graphic Problems
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152
Voted
KDD
2006
ACM
147views Data Mining» more  KDD 2006»
16 years 4 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
134
Voted
ICDM
2009
IEEE
168views Data Mining» more  ICDM 2009»
15 years 10 months ago
Bi-relational Network Analysis Using a Fast Random Walk with Restart
—Identification of nodes relevant to a given node in a relational network is a basic problem in network analysis with great practical importance. Most existing network analysis ...
Jing Xia, Doina Caragea, William H. Hsu
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
16 years 4 months ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy
130
Voted
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 8 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
156
Voted
SDM
2011
SIAM
242views Data Mining» more  SDM 2011»
14 years 6 months ago
Fast Algorithms for Finding Extremal Sets
Identifying the extremal (minimal and maximal) sets from a collection of sets is an important subproblem in the areas of data-mining and satisfiability checking. For example, ext...
Roberto J. Bayardo, Biswanath Panda