Name: Relevance Feature Search for Text Mining
SKU: 59802243
Price: 60.34 EUR
Availability: InStock
Author: Kamble, Rekha ; More, Shivaprasad
ISBN: 9786207474745

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portada Relevance Feature Search for Text Mining

Relevance Feature Search for Text Mining

Type

Physical Book

Author

Rekha Kamble

Shivaprasad More

Publisher

LAP Lambert Academic Publishing

Language

English

Pages

Format

Paperback

Dimensions

22.9x15.2x0.3 cm

Weight

0.09 kg.

ISBN13

9786207474745

Synopsis "Relevance Feature Search for Text Mining"

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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Relevance Feature Search for Text Mining - Kamble, Rekha ; More, Shivaprasad

Synopsis "Relevance Feature Search for Text Mining"

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