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KDD
2009
ACM
132views Data Mining» more  KDD 2009»
14 years 7 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
KAIS
2008
119views more  KAIS 2008»
13 years 7 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
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
14 years 4 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
JUCS
2007
118views more  JUCS 2007»
13 years 6 months ago
A Model of Immune Gene Expression Programming for Rule Mining
: Rule mining is an important issue in data mining. To address it, a novel Immune Gene Expression Programming (IGEP) model was proposed. Concepts of rule, gene, immune cell, and an...
Tao Zeng, Changjie Tang, Yong Xiang, Peng Chen, Yi...
DAWAK
2007
Springer
14 years 1 months ago
What-If Analysis for Data Warehouse Evolution
In this paper, we deal with the problem of performing what-if analysis for changes that occur in the schema/structure of the data warehouse We abstract software modules, queries, r...
George Papastefanatos, Panos Vassiliadis, Alkis Si...