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» Techniques of Cluster Algorithms in Data Mining
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KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 7 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
IS
2010
15 years 5 months ago
Tree pattern mining with tree automata constraints
Most work on pattern mining focuses on simple data structures such as itemsets and sequences of itemsets. However, a lot of recent applications dealing with complex data like chem...
Sandra de Amo, Nyara A. Silva, Ronaldo P. Silva, F...
DMIN
2006
137views Data Mining» more  DMIN 2006»
15 years 8 months ago
Discovering of Frequent Itemsets with CP-mine Algorithm
Efficient algorithms to discover frequent patterns are crucial in data mining research. Several effective data structures, such as two-dimensional arrays, graphs, trees, and tries ...
Nuansri Denwattana, Yutthana Treewai
HICSS
2008
IEEE
119views Biometrics» more  HICSS 2008»
16 years 1 months ago
Tree Mining in Mental Health Domain
The number of mentally ill people is increasing globally each year. Despite major medical advances, the identification of genetic and environmental factors responsible for mental ...
Maja Hadzic, Fedja Hadzic, Tharam S. Dillon
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 7 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher