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95
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SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
15 years 4 months ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
Carlos Ordonez, Paul Cereghini
79
Voted
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
15 years 1 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...
98
Voted
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 2 days ago
Is there a grand challenge or X-prize for data mining?
This panel will discuss possible exciting and motivating Grand Challenge problems for Data Mining, focusing on bioinformatics, multimedia mining, link mining, text mining, and web...
Gregory Piatetsky-Shapiro, Robert Grossman, Chaban...
CORR
2010
Springer
219views Education» more  CORR 2010»
14 years 11 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
108
Voted
EUROPAR
2008
Springer
15 years 1 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