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» Ontology-based Text Document Clustering
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85
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SIGIR
2006
ACM
15 years 6 months ago
Feature diversity in cluster ensembles for robust document clustering
The performance of document clustering systems depends on employing optimal text representations, which are not only difficult to determine beforehand, but also may vary from one ...
Xavier Sevillano, Germán Cobo, Francesc Al&...
99
Voted
CIKM
2009
Springer
15 years 7 months ago
Text summarization model based on the budgeted median problem
We propose a multi-document generic summarization model based on the budgeted median problem. Our model selects sentences to generate a summary so that every sentence in the docum...
Hiroya Takamura, Manabu Okumura
ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
15 years 6 months ago
GDClust: A Graph-Based Document Clustering Technique
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
M. Shahriar Hossain, Rafal A. Angryk
CICLING
2008
Springer
15 years 2 months ago
Evaluation of Internal Validity Measures in Short-Text Corpora
Short texts clustering is one of the most difficult tasks in natural language processing due to the low frequencies of the document terms. We are interested in analysing these kind...
Diego Ingaramo, David Pinto, Paolo Rosso, Marcelo ...
123
Voted
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
15 years 1 months ago
Bursty Feature Representation for Clustering Text Streams
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...
Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang