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Relevance Feature Search for Text Mining (in English)
Rekha Kamble
(Author)
·
Shivaprasad More
(Author)
·
LAP Lambert Academic Publishing
· Paperback
Relevance Feature Search for Text Mining (in English) - Kamble, Rekha ; More, Shivaprasad
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Synopsis "Relevance Feature Search for Text Mining (in English)"
Relevance Feature Discovery is an innovative model that classifies terms into distinct categories and effectively updates term weights and distribution in patterns, hence boosting text mining performance.The terms that appear more frequently in relevant papers are regarded as positive specific terms. The terms that appear more frequently in irrelevant papers are classified as negative specific terms. The goal of Relevance Feature Discovery is to extract high-quality features that accurately represent the user's demands. This system outperforms term and pattern-based techniques.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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