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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
KBSE
2009
IEEE
14 years 2 months ago
Alattin: Mining Alternative Patterns for Detecting Neglected Conditions
—To improve software quality, static or dynamic verification tools accept programming rules as input and detect their violations in software as defects. As these programming rul...
Suresh Thummalapenta, Tao Xie
DAWAK
2001
Springer
14 years 7 days 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...
SDM
2007
SIAM
74views Data Mining» more  SDM 2007»
13 years 9 months ago
HACS: Heuristic Algorithm for Clustering Subsets
The term consideration set is used in marketing to refer to the set of items a customer thought about purchasing before making a choice. While consideration sets are not directly ...
Ding Yuan, W. Nick Street
GEOINFORMATICA
2006
102views more  GEOINFORMATICA 2006»
13 years 7 months ago
Mining Co-Location Patterns with Rare Events from Spatial Data Sets
Abstract A co-location pattern is a group of spatial features/events that are frequently co-located in the same region. For example, human cases of West Nile Virus often occur in r...
Yan Huang, Jian Pei, Hui Xiong