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» Techniques of Cluster Algorithms in Data Mining
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INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
14 years 2 months ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
13 years 6 months ago
Efficient Anonymizations with Enhanced Utility
The k-anonymization method is a commonly used privacy-preserving technique. Previous studies used various measures of utility that aim at enhancing the correlation between the orig...
Jacob Goldberger, Tamir Tassa
SDM
2009
SIAM
184views Data Mining» more  SDM 2009»
14 years 5 months ago
DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
Emmanuel Müller, Ira Assent, Ralph Krieger, S...
PAKDD
2010
ACM
158views Data Mining» more  PAKDD 2010»
14 years 1 months ago
Integrative Parameter-Free Clustering of Data with Mixed Type Attributes
Abstract. Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with ...
Christian Böhm, Sebastian Goebl, Annahita Osw...
KDD
2002
ACM
1075views Data Mining» more  KDD 2002»
14 years 9 months ago
CLOPE: a fast and effective clustering algorithm for transactional data
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
Yiling Yang, Xudong Guan, Jinyuan You