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» Hiding Sensitive Patterns in Association Rules Mining
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IQIS
2004
ACM
14 years 1 months ago
Mining for Patterns in Contradictory Data
Information integration is often faced with the problem that different data sources represent the same set of the real-world objects, but give conflicting values for specific prop...
Heiko Müller, Ulf Leser, Johann Christoph Fre...
EDBT
2009
ACM
195views Database» more  EDBT 2009»
14 years 2 months ago
Anonymizing moving objects: how to hide a MOB in a crowd?
Moving object databases (MOD) have gained much interest in recent years due to the advances in mobile communications and positioning technologies. Study of MOD can reveal useful i...
Roman Yarovoy, Francesco Bonchi, Laks V. S. Lakshm...
ICWE
2004
Springer
14 years 29 days ago
Behaviour Recovery and Complicated Pattern Definition in Web Usage Mining
Data mining includes four steps: data preparation, pattern mining, and pattern analysis and pattern application. But in web environment, the user activities become much more comple...
Long Wang 0002, Christoph Meinel
CBMS
2007
IEEE
14 years 1 months ago
A Large Scale Data Mining Approach to Antibiotic Resistance Surveillance
One of the most considerable functions in a hospital's infection control program is the surveillance of antibiotic resistance. Several traditional methods used to measure it ...
Eugenia G. Giannopoulou, Vasileios P. Kemerlis, Mi...
IEEEICCI
2002
IEEE
14 years 16 days ago
Mining Fuzzy Rules in A Donor Database for Direct Marketing by a Charitable Organization
Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy ...
Keith C. C. Chan, Wai-Ho Au, Berry Choi