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» Techniques of Cluster Algorithms in Data Mining
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VLDB
2008
ACM
147views Database» more  VLDB 2008»
16 years 1 months ago
Providing k-anonymity in data mining
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
Arik Friedman, Ran Wolff, Assaf Schuster
ICDE
2002
IEEE
104views Database» more  ICDE 2002»
16 years 3 months ago
Efficient Evaluation of Queries with Mining Predicates
Modern relational database systems are beginning to support ad hoc queries on mining models. In this paper, we explore novel techniques for optimizing queries that apply mining mo...
Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sara...
SDM
2004
SIAM
253views Data Mining» more  SDM 2004»
15 years 3 months ago
Density-Connected Subspace Clustering for High-Dimensional Data
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
Peer Kröger, Hans-Peter Kriegel, Karin Kailin...
ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
15 years 8 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
15 years 8 months ago
Clustering Events on Streams Using Complex Context Information
Monitoring applications play an increasingly important role in many domains. They detect events in monitored systems and take actions such as invoke a program or notify an adminis...
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska,...