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» Ontology-based Text Document Clustering
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ECIR
2009
Springer
15 years 9 months ago
Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints
This paper presents a new approach designed to reduce the computational load of the existing clustering algorithms by trimming down the documents size using fingerprinting methods...
Javier Parapar, Alvaro Barreiro
102
Voted
CASCON
2006
150views Education» more  CASCON 2006»
15 years 1 months ago
Exploring a new space of features for document classification: figure clustering
Automatic document classification is an important step in organizing and mining documents. Information in documents is often conveyed using both text and images that complement ea...
Nawei Chen, Hagit Shatkay, Dorothea Blostein
AAAI
2006
15 years 1 months ago
OntoSearch: A Full-Text Search Engine for the Semantic Web
OntoSearch, a full-text search engine that exploits ontological knowledge for document retrieval, is presented in this paper. Different from other ontology based search engines, O...
Xing Jiang, Ah-Hwee Tan
99
Voted
AIMSA
2008
Springer
15 years 6 months ago
Using Text Segmentation to Enhance the Cluster Hypothesis
An alternative way to tackle Information Retrieval, called Passage Retrieval, considers text fragments independently rather than assessing global relevance of documents. In such a ...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
DMIN
2006
146views Data Mining» more  DMIN 2006»
15 years 1 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...