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» Techniques of Cluster Algorithms in Data Mining
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PKDD
2004
Springer
138views Data Mining» more  PKDD 2004»
15 years 7 months ago
Combining Multiple Clustering Systems
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
Constantinos Boulis, Mari Ostendorf
KDD
2005
ACM
135views Data Mining» more  KDD 2005»
16 years 2 months ago
A hybrid unsupervised approach for document clustering
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Mihai Surdeanu, Jordi Turmo, Alicia Ageno
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 7 months ago
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
SIGIR
2012
ACM
13 years 4 months ago
Mining query subtopics from search log data
Most queries in web search are ambiguous and multifaceted. Identifying the major senses and facets of queries from search log data, referred to as query subtopic mining in this pa...
Yunhua Hu, Ya-nan Qian, Hang Li, Daxin Jiang, Jian...
SAC
2008
ACM
15 years 1 months ago
Efficient concept clustering for ontology learning using an event life cycle on the web
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Sangsoo Sung, Seokkyung Chung, Dennis McLeod