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ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
14 years 1 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
ADMA
2007
Springer
159views Data Mining» more  ADMA 2007»
14 years 27 days ago
A Novel Text Classification Approach Based on Enhanced Association Rule
The current research on association rule based text classification neglected several key problems. First, weights of elements in profile vectors may have much impact on generating ...
Jiangtao Qiu, Changjie Tang, Tao Zeng, Shaojie Qia...
KDD
2004
ACM
110views Data Mining» more  KDD 2004»
14 years 7 months ago
Generalizing the notion of support
The goal of this paper is to show that generalizing the notion of support can be useful in extending association analysis to non-traditional types of patterns and non-binary data....
Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin...
ICDE
2006
IEEE
124views Database» more  ICDE 2006»
14 years 23 days ago
Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases
It has been well recognized that data mining is an interactive and iterative process. In order to support this process, one of the long-term goals of data mining research has been...
Ruoming Jin, Gagan Agrawal
PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
13 years 11 months ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals