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CIKM
2008
Springer
13 years 7 months ago
Integrating clustering and multi-document summarization to improve document understanding
Document understanding techniques such as document clustering and multi-document summarization have been receiving much attention in recent years. Current document clustering meth...
Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, Yiho...
CIKM
2000
Springer
13 years 10 months ago
A Semi-Supervised Document Clustering Technique for Information Organization
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
Han-joon Kim, Sang-goo Lee
CEC
2008
IEEE
14 years 1 days ago
Correlation clustering based on genetic algorithm for documents clustering
—Correlation clustering problem is a NP hard problem and technologies for the solving of correlation clustering problem can be used to cluster given data set with relation matrix...
Zhenya Zhang, Hongmei Cheng, Wanli Chen, Shuguang ...
DMIN
2006
146views Data Mining» more  DMIN 2006»
13 years 7 months ago
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents
Medical data is often presented as free text in the form of medical reports. Such documents contain important information about patients, disease progression and management, but ar...
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Be...
HT
2000
ACM
13 years 10 months ago
Clustering hypertext with applications to web searching
Clustering separates unrelated documents and groups related documents, and is useful for discrimination, disambiguation, summarization, organization, and navigation of unstructure...
Dharmendra S. Modha, W. Scott Spangler