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» Evaluation of Sampling for Data Mining of Association Rules
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FUZZIEEE
2007
IEEE
15 years 7 months ago
A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports
—In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minim...
Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, C...
129
Voted
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 4 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang
BMCBI
2006
183views more  BMCBI 2006»
15 years 21 days ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
105
Voted
DASFAA
2005
IEEE
166views Database» more  DASFAA 2005»
15 years 6 months ago
NNF: An Effective Approach in Medicine Paring Analysis of Traditional Chinese Medicine Prescriptions
Medicine Paring Analysis is one of the most important tasks in the research of Traditional Chinese Medicine Prescriptions. The most essential and difficult step is to mine associat...
Chuan Li, Changjie Tang, Jing Peng, Jianjun Hu, Yo...
127
Voted
GRC
2010
IEEE
15 years 1 months ago
Local Pattern Mining from Sequences Using Rough Set Theory
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
Ken Kaneiwa, Yasuo Kudo