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» On Minimal Infrequent Itemset Mining
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SPAA
1997
ACM
13 years 10 months ago
A Localized Algorithm for Parallel Association Mining
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
AEI
2007
91views more  AEI 2007»
13 years 5 months ago
MICF: An effective sanitization algorithm for hiding sensitive patterns on data mining
Data mining mechanisms have widely been applied in various businesses and manufacturing companies across many industry sectors. Sharing data or sharing mined rules has become a tr...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
14 years 3 days ago
GenMiner: Mining Informative Association Rules from Genomic Data
GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
Ricardo Martínez, Claude Pasquier, Nicolas ...
FIMI
2003
146views Data Mining» more  FIMI 2003»
13 years 7 months ago
ARMOR: Association Rule Mining based on ORacle
In this paper, we first focus our attention on the question of how much space remains for performance improvement over current association rule mining algorithms. Our strategy is...
Vikram Pudi, Jayant R. Haritsa
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
13 years 11 months ago
Separating Structure from Interestingness
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen