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EDBTW
2010
Springer
16 years 1 months ago
A practice-oriented framework for measuring privacy and utility in data sanitization systems
Published data is prone to privacy attacks. Sanitization methods aim to prevent these attacks while maintaining usefulness of the data for legitimate users. Quantifying the trade-...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
197
Voted
WAIM
2009
Springer
16 years 1 months ago
Dynamic Data Migration Policies for Query-Intensive Distributed Data Environments
Abstract. Modern large distributed applications, such as telecommunication and banking services, need to respond instantly to a huge number of queries within a short period of time...
Tengjiao Wang, Bishan Yang, Allen Huang, Qi Zhang,...
PAKDD
2011
ACM
419views Data Mining» more  PAKDD 2011»
14 years 9 months ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
16 years 7 months ago
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets
We present a novel algorithm called Clicks, that finds clusters in categorical datasets based on a search for k-partite maximal cliques. Unlike previous methods, Clicks mines subs...
Mohammed Javeed Zaki, Markus Peters, Ira Assent, T...
ICDM
2005
IEEE
157views Data Mining» more  ICDM 2005»
16 years 13 days ago
Blocking Anonymity Threats Raised by Frequent Itemset Mining
In this paper we study when the disclosure of data mining results represents, per se, a threat to the anonymity of the individuals recorded in the analyzed database. The novelty o...
Maurizio Atzori, Francesco Bonchi, Fosca Giannotti...