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» Frequent term-based text clustering
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KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 5 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
13 years 11 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
ECML
2007
Springer
13 years 10 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
KDD
2001
ACM
196views Data Mining» more  KDD 2001»
14 years 5 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley
DATESO
2007
85views Database» more  DATESO 2007»
13 years 6 months ago
Improvement of Text Compression Parameters Using Cluster Analysis
Abstract. Several actions are usually performed when document is appended to textual database in information retrieval system. The most frequent actions are compression of the docu...
Jiri Dvorský, Jan Martinovic