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» Privacy in Data Mining Using Formal Methods
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ICDE
2005
IEEE
132views Database» more  ICDE 2005»
14 years 2 months ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters
ICDE
2007
IEEE
96views Database» more  ICDE 2007»
14 years 29 days ago
Mining Software Data
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
Burak Turhan, F. Onur Kutlubay
EDBT
2010
ACM
181views Database» more  EDBT 2010»
13 years 7 months ago
Private record matching using differential privacy
Private matching between datasets owned by distinct parties is a challenging problem with several applications. Private matching allows two parties to identify the records that ar...
Ali Inan, Murat Kantarcioglu, Gabriel Ghinita, Eli...
SOUPS
2006
ACM
14 years 3 months ago
An empirical study of natural language parsing of privacy policy rules using the SPARCLE policy workbench
Today organizations do not have good ways of linking their written privacy policies with the implementation of those policies. To assist organizations in addressing this issue, ou...
Carolyn Brodie, Clare-Marie Karat, John Karat
SDM
2007
SIAM
140views Data Mining» more  SDM 2007»
13 years 10 months ago
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu