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» New Algorithms for Fast Discovery of Association Rules
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PKDD
2001
Springer
108views Data Mining» more  PKDD 2001»
15 years 2 months ago
Knowledge Discovery in Multi-label Phenotype Data
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
Amanda Clare, Ross D. King
CEC
2008
IEEE
15 years 4 months ago
Distributed multi-relational data mining based on genetic algorithm
—An efficient algorithm for mining important association rule from multi-relational database using distributed mining ideas. Most existing data mining approaches look for rules i...
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng...
DGO
2007
192views Education» more  DGO 2007»
14 years 11 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger
CCE
2008
14 years 9 months ago
Bidirectional branch and bound for controlled variable selection: Part I. Principles and minimum singular value criterion
The minimum singular value (MSV) rule is a useful tool for selecting controlled variables (CVs) from the available measurements. However, the application of the MSV rule to large-...
Yi Cao, Vinay Kariwala
PVLDB
2010
107views more  PVLDB 2010»
14 years 8 months ago
On Multi-Column Foreign Key Discovery
A foreign/primary key relationship between relational tables is one of the most important constraints in a database. From a data analysis perspective, discovering foreign keys is ...
Meihui Zhang, Marios Hadjieleftheriou, Beng Chin O...