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ICDE
2006
IEEE
152views Database» more  ICDE 2006»
14 years 9 months ago
Mining Actionable Patterns by Role Models
Data mining promises to discover valid and potentially useful patterns in data. Often, discovered patterns are not useful to the user. "Actionability" addresses this pro...
Ke Wang, Yuelong Jiang, Alexander Tuzhilin
CIKM
2007
Springer
14 years 2 months ago
Top-k subgraph matching query in a large graph
Recently, due to its wide applications, subgraph search has attracted a lot of attention from database and data mining community. Sub-graph search is defined as follows: given a ...
Lei Zou, Lei Chen 0002, Yansheng Lu
KDD
2010
ACM
232views Data Mining» more  KDD 2010»
13 years 12 months ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
14 years 1 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
WSDM
2010
ACM
166views Data Mining» more  WSDM 2010»
14 years 5 months ago
Ranking Mechanisms in Twitter-Like Forums
We study the problem of designing a mechanism to rank items in forums by making use of the user reviews such as thumb and star ratings. We compare mechanisms where forum users rat...
Anish Das Sarma, Atish Das Sarma, Sreenivas Gollap...