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» Discovering Associations in XML Data
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VLDB
2002
ACM
131views Database» more  VLDB 2002»
13 years 9 months ago
ProTDB: Probabilistic Data in XML
Whereas traditional databases manage only deterministic information, many applications that use databases involve uncertain data. This paper presents a Probabilistic Tree Data Bas...
Andrew Nierman, H. V. Jagadish
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
14 years 2 months ago
Mining Association Rules with Item Constraints
The problem of discovering association rules has received considerable research attention and several fast algorithms for mining association rules have been developed. In practice...
Ramakrishnan Srikant, Quoc Vu, Rakesh Agrawal
DAWAK
2001
Springer
14 years 2 months ago
A Theoretical Framework for Association Mining Based on the Boolean Retrieval Model
Data mining has been defined as the non- trivial extraction of implicit, previously unknown and potentially useful information from data. Association mining is one of the important...
Peter Bollmann-Sdorra, Aladdin Hafez, Vijay V. Rag...
CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 10 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik
DMKD
2004
ACM
167views Data Mining» more  DMKD 2004»
14 years 3 months ago
FP-tax: tree structure based generalized association rule mining
Data mining has been widely recognized as a powerful tool to explore added value from large-scale databases. One of data mining techniques, generalized association rule mining wit...
Iko Pramudiono, Masaru Kitsuregawa