459 search results - page 3 / 92 » A general model for clustering binary data |
CINQ
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
ISIPTA
1999
IEEE
13 years 9 months ago
1999
IEEE
Bayesian implicative analysis was proposed for summarizing the association in a 22 contingency table in terms possibly asymmetrical such as, e.g., presence of feature a implies, i...
ADBIS
2007
Springer
2007
Springer
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
13 years 11 months ago
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
ESWA
2008
13 years 5 months ago
2008
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...