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» Ontology-based Text Document Clustering
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144
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ECML
2006
Springer
15 years 9 months ago
Efficient Prediction-Based Validation for Document Clustering
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
Derek Greene, Padraig Cunningham
ICPR
2008
IEEE
15 years 11 months ago
A robust technique for text extraction in mixed-type binary documents
A crucial preprocessing stage in applications such as OCR is text extraction from mixed-type documents. The present work, in contrast to most until now, successfully faces the pro...
Charalambos Strouthopoulos, Athanasios Nikolaidis
167
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IMCSIT
2010
15 years 3 months ago
Learning taxonomic relations from a set of text documents
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...
Mari-Sanna Paukkeri, Alberto Pérez Garc&iac...
IMCSIT
2010
15 years 2 months ago
Using Self Organizing Map to Cluster Arabic Crime Documents
This paper presents a system that combines two text mining techniques; information extraction and clustering. A rulebased approach is used to perform the information extraction tas...
Meshrif Alruily, Aladdin Ayesh, Abdulsamad Al-Marg...
CICLING
2009
Springer
16 years 5 months ago
Semantic Clustering for a Functional Text Classification Task
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
Thomas Lippincott, Rebecca J. Passonneau