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» Ontology-based Text Document Clustering
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WEBI
2007
Springer
15 years 6 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
129
Voted
ICAIL
2005
ACM
15 years 6 months ago
Effective Document Clustering for Large Heterogeneous Law Firm Collections
Computational resources for research in legal environments have historically implied remote access to large databases of legal documents such as case law, statutes, law reviews an...
Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, Georg...
84
Voted
EL
2008
91views more  EL 2008»
15 years 15 days ago
A novel self-organising clustering model for time-event documents
Purpose Neural document clustering techniques, e.g., self-organising map (SOM) or growing neural gas (GNG), usually assume that textual information is stationary on the quantity. ...
Chihli Hung, Stefan Wermter
ICML
2006
IEEE
16 years 1 months ago
Practical solutions to the problem of diagonal dominance in kernel document clustering
In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...
Derek Greene, Padraig Cunningham
79
Voted
SAC
2002
ACM
15 years 2 days ago
Benefits of document maps for text access in knowledge management: a comparative study
Analyzing, structuring and organizing documented knowledge is an important aspect of knowledge management. In order to ease the access to text collections, in literature so-called...
Andreas Becks, Christian Seeling, Ralf Minkenberg