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» Techniques of Cluster Algorithms in Data Mining
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PAKDD
2004
ACM
117views Data Mining» more  PAKDD 2004»
15 years 11 months ago
Constraint-Based Mining of Formal Concepts in Transactional Data
We are designing new data mining techniques on boolean contexts to identify a priori interesting concepts, i.e., closed sets of objects (or transactions) and associated closed sets...
Jérémy Besson, Céline Robarde...
EUROPAR
1999
Springer
15 years 10 months ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene
EUROPAR
2008
Springer
15 years 8 months ago
Data Mining Algorithms on the Cell Broadband Engine
The Cell Broadband Engine (CBE) is a new heterogeneous multi-core processor from IBM, Sony and Toshiba, and provides the potential to achieve an impressive level of performance for...
Rubing Duan, Alfred Strey

Book
412views
17 years 5 months ago
Algorithms for Clustering Data
"Cluster analysis is an important technique in the rapidly growing field known as exploratory data analysis and is being applied in a variety of engineering and scientific dis...
A. K. Jain, R. C. Dubes
RIAO
2004
15 years 7 months ago
Mining Textual Data through Term Variant Clustering : the TermWatch system
We present a system for mapping the structure of research topics in a corpus. TermWatch portrays the "aboutness" of a corpus of scientific and technical publications by ...
Fidelia Ibekwe-Sanjuan, Eric SanJuan