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ICDE
2009
IEEE
192views Database» more  ICDE 2009»
16 years 23 days ago
Deriving Private Information from Association Rule Mining Results
Data publishing can provide enormous benefits to the society. However, due to privacy concerns, data cannot be published in their original forms. Two types of data publishing can a...
Zutao Zhu, Guan Wang, Wenliang Du
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 3 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
VLDB
2004
ACM
117views Database» more  VLDB 2004»
15 years 4 months ago
Discovering and Ranking Semantic Associations over a Large RDF Metabase
Information retrieval over semantic metadata has recently received a great amount of interest in both industry and academia. In particular, discovering complex and meaningful rela...
Christian Halaschek-Wiener, Boanerges Aleman-Meza,...
CORR
2010
Springer
208views Education» more  CORR 2010»
14 years 11 months ago
Discovering potential user browsing behaviors using custom-built apriori algorithm
Most of the organizations put information on the web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay a whi...
Sandeep Singh Rawat, Lakshmi Rajamani
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
15 years 11 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb