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PODS
2004
ACM
130views Database» more  PODS 2004»
14 years 10 months ago
Computational Complexity of Itemset Frequency Satisfiability
Computing frequent itemsets is one of the most prominent problems in data mining. We introduce a new, related problem, called FREQSAT: given some itemset-interval pairs, does ther...
Toon Calders
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
12 years 15 days ago
Sampling minimal frequent boolean (DNF) patterns
We tackle the challenging problem of mining the simplest Boolean patterns from categorical datasets. Instead of complete enumeration, which is typically infeasible for this class ...
Geng Li, Mohammed J. Zaki
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
14 years 10 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
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
13 years 8 months ago
Interesting Subset Discovery and Its Application on Service Processes
Various real-life datasets can be viewed as a set of records consisting of attributes explaining the records and set of measures evaluating the records. In this paper, we address t...
Maitreya Natu, Girish Keshav Palshikar
HICSS
2006
IEEE
129views Biometrics» more  HICSS 2006»
14 years 4 months ago
Improving the Response Time of Business Processes: An Alert-Based Analytical Approach
Large enterprises in application domains such as finance, banking, travel services, and hospital management use business processes for their day-to-day business. An integral part ...
Eleanna Kafeza, Dickson K. W. Chiu, Kamalakar Karl...