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» Hiding Sensitive Patterns in Association Rules Mining
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ICMLA
2004
13 years 9 months ago
Mining interesting contrast rules for a web-based educational system
Web-based educational technologies allow educators to study how students learn (descriptive studies) and which learning strategies are most effective (causal/predictive studies). ...
Behrouz Minaei-Bidgoli, Pang-Ning Tan, William F. ...
CIKM
2005
Springer
14 years 1 months ago
Privacy leakage in multi-relational databases via pattern based semi-supervised learning
In multi-relational databases, a view, which is a context- and content-dependent subset of one or more tables (or other views), is often used to preserve privacy by hiding sensiti...
Hui Xiong, Michael Steinbach, Vipin Kumar
BDA
2001
13 years 9 months ago
Query-Driven Knowledge Discovery via OLAP manipulations
We study KDD (Knowledge Discovery in Databases) processes on OLAP (multidimensional and multilevel) data from a query point of view. Focusing on association rule mining, we consid...
Jean-François Boulicaut, Patrick Marcel, Ch...
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
14 years 2 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
14 years 27 days ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee