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» Mining Hesitation Information by Vague Association Rules
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ICDM
2002
IEEE
108views Data Mining» more  ICDM 2002»
14 years 9 days ago
Mining Association Rules from Stars
Association rule mining is an important data mining problem. It is found to be useful for conventional relational data. However, previous work has mostly targeted on mining a sing...
Eric Ka Ka Ng, Ada Wai-Chee Fu, Ke Wang
DOLAP
2006
ACM
14 years 1 months ago
Enhanced mining of association rules from data cubes
On-line analytical processing (OLAP) provides tools to explore and navigate into data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of expla...
Riadh Ben Messaoud, Sabine Loudcher Rabaséd...
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
14 years 2 months ago
On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining
—The recent interest in outsourcing IT services onto the cloud raises two main concerns: security and cost. One task that could be outsourced is data mining. In VLDB 2007, Wong e...
Ian Molloy, Ninghui Li, Tiancheng Li
CIKM
2001
Springer
13 years 12 months ago
Ordinal Association Rules for Error Identification in Data Sets
A new extension of the Boolean association rules, ordinal association rules, that incorporates ordinal relationships among data items, is introduced. One use for ordinal rules is ...
Andrian Marcus, Jonathan I. Maletic, King-Ip Lin
RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
14 years 25 days ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone