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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 7 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 6 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 3 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
189
Voted

Book
412views
17 years 21 days 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
123
Voted
RIAO
2004
15 years 3 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