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» Mining Hesitation Information by Vague Association Rules
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IADIS
2008
13 years 8 months ago
Fuzzy Association Rule Reduction Using Clustering In Som Neural Network
The major drawback of fuzzy data mining is that after applying fuzzy data mining on the quantitative data, the number of extracted fuzzy association rules is very huge. When many ...
Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Gha...
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
13 years 11 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
VLDB
2007
ACM
111views Database» more  VLDB 2007»
14 years 1 months ago
Security in Outsourcing of Association Rule Mining
Outsourcing association rule mining to an outside service provider brings several important benefits to the data owner. These include (i) relief from the high mining cost, (ii) m...
Wai Kit Wong, David W. Cheung, Edward Hung, Ben Ka...
HICSS
2003
IEEE
176views Biometrics» more  HICSS 2003»
14 years 20 days ago
Ad-Hoc Association-Rule Mining within the Data Warehouse
Many organizations often underutilize their already constructed data warehouses. In this paper, we suggest a novel way of acquiring more information from corporate data warehouses...
Svetlozar Nestorov, Nenad Jukic
DAWAK
2006
Springer
13 years 11 months ago
Efficient Mining of Dissociation Rules
Abstract. Association rule mining is one of the most popular data mining techniques. Significant work has been done to extend the basic association rule framework to allow for mini...
Mikolaj Morzy