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ICDE
2006
IEEE
130views Database» more  ICDE 2006»
15 years 6 days ago
MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining
We propose a framework, called MIC, which adopts an information-theoretic approach to address the problem of quantitative association rule mining. In our MIC framework, we first d...
Yiping Ke, James Cheng, Wilfred Ng
WCRE
2006
IEEE
14 years 4 months ago
Mining Control Flow Graphs for Crosscutting Concerns
Aspect mining tries to identify crosscutting concerns in existing systems and thus supports the adaption to an aspect-oriented design. This paper describes an automatic static asp...
Jens Krinke
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
14 years 11 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
KAIS
2008
119views more  KAIS 2008»
13 years 10 months ago
An information-theoretic approach to quantitative association rule mining
Abstract. Quantitative Association Rule (QAR) mining has been recognized an influential research problem over the last decade due to the popularity of quantitative databases and th...
Yiping Ke, James Cheng, Wilfred Ng
ECAI
2010
Springer
13 years 12 months ago
Discovering an Event Taxonomy from Video using Qualitative Spatio-temporal Graphs
This work proposes a graph mining based approach to mine a taxonomy of events from activities for complex videos which are represented in terms of qualitative spatio-temporal relat...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...