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  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
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  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
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A comparable study employing weka clustering/classification algorithms for web page classification

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Autor
Charalampopoulos, I.; Anagnostopoulos, I.
Datum
2011
DOI
10.1109/PCI.2011.52
Schlagwort
Classification
Clustering
WEKA
Classification methods
Method evaluation
Testing results
Web classification
Web content
Web page classification
Algorithms
Classification (of information)
Information science
Interfaces (computer)
Information retrieval systems
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Zusammenfassung
Documents and web pages share many similarities. Thus classification methods used in documents can be applied to advanced web content, with or even without modifications. Algorithms for document and web classification are presented as an introduction. One out of many tools that can be used in method evaluation, application and modification is WEKA (Waikato Environment for Knowledge Analysis). Testing results and conclusions strengthen the principles and bases of classification, while demonstrating the need for a new interlayer in the evaluation of classification methods. © 2011 IEEE.
URI
http://hdl.handle.net/11615/26572
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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