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SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
15 years 4 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
100
Voted
CICLING
2007
Springer
15 years 9 months ago
Unsupervised Discrimination of Person Names in Web Contexts
Ambiguous person names are a problem in many forms of written text, including that which is found on the Web. In this paper we explore the use of unsupervised clustering techniques...
Ted Pedersen, Anagha Kulkarni
CAINE
2003
15 years 4 months ago
A Genetic Algorithm for Clustering on Very Large Data Sets
Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...
Jim Gasvoda, Qin Ding
117
Voted
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
15 years 9 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
ADBIS
2006
Springer
166views Database» more  ADBIS 2006»
15 years 9 months ago
Clustering-Based Materialized View Selection in Data Warehouses
materialized view selection is a non-trivial task. Hence, its complexity must be reduced. A judicious choice of views must be costdriven and influenced by the workload experienced...
Kamel Aouiche, Pierre-Emmanuel Jouve, Jér&o...