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» Analysis of sampling techniques for association rule mining
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AMT
2006
Springer
108views Multimedia» more  AMT 2006»
14 years 12 months ago
Efficient Frequent Itemsets Mining by Sampling
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
KDD
1997
ACM
135views Data Mining» more  KDD 1997»
15 years 2 months ago
Brute-Force Mining of High-Confidence Classification Rules
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
Roberto J. Bayardo Jr.
JIS
2007
95views more  JIS 2007»
14 years 9 months ago
Combined association rules for dealing with missing values
With the rapid increase in the use of databases, the problem of missing values inevitably arises. The techniques developed to effectively recover these missing values should be hi...
Jau-Ji Shen, Chin-Chen Chang, Yu-Chiang Li
DATAMINE
2006
131views more  DATAMINE 2006»
14 years 10 months ago
A systematic approach to the assessment of fuzzy association rules
In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the li...
Didier Dubois, Eyke Hüllermeier, Henri Prade
SAC
2005
ACM
15 years 3 months ago
Mining concept associations for knowledge discovery in large textual databases
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
Xiaowei Xu, Mutlu Mete, Nurcan Yuruk