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» Mining Multiple Large Databases
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ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
15 years 7 months ago
Association Rule Mining in Peer-to-Peer Systems
We extend the problem of association rule mining – a key data mining problem – to systems in which the database is partitioned among a very large number of computers that are ...
Ran Wolff, Assaf Schuster
KDD
1995
ACM
140views Data Mining» more  KDD 1995»
15 years 5 months ago
Discovery and Maintenance of Functional Dependencies by Independencies
For semantic query optimization one needs detailed knowledgeabout the contents of the database. Traditional techniquesuse static knowledgeabout all possible states of the database...
Siegfried Bell
115
Voted
AMT
2006
Springer
108views Multimedia» more  AMT 2006»
15 years 3 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
DEXA
2005
Springer
110views Database» more  DEXA 2005»
15 years 7 months ago
Intensional Encapsulations of Database Subsets via Genetic Programming
Finding intensional encapsulations of database subsets is the inverse of query evaluation. Whereas query evaluation transforms an intensional expression (the query) to its extensi...
Aybar C. Acar, Amihai Motro
169
Voted
VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 6 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz