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» A hybrid unsupervised approach for document clustering
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FUZZIEEE
2007
IEEE
14 years 2 months ago
Survey of Rough and Fuzzy Hybridization
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
Pawan Lingras, Richard Jensen
RIAO
2004
13 years 10 months ago
Multilingual document clusters discovery
Cross Language Information Retrieval community has brought up search engines over multilingual corpora, and multilingual text categorization systems. In this paper, we focus on th...
Benoît Mathieu, Romaric Besançon, Chr...
INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
13 years 10 months ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...
WEBI
2007
Springer
14 years 2 months ago
Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
Yujiu Yang, Bao-Gang Hu
JCDL
2005
ACM
116views Education» more  JCDL 2005»
14 years 2 months ago
Name disambiguation in author citations using a K-way spectral clustering method
An author may have multiple names and multiple authors may share the same name simply due to name abbreviations, identical names, or name misspellings in publications or bibliogra...
Hui Han, Hongyuan Zha, C. Lee Giles