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Hybrid Intelligent Systems for Information Retrieval

By: (Author) Ambika Pawar , (Author) Anuradha D Thakare , (Author) Shilpa Laddha

Manufacture on Demand

Ksh 23,400.00

Format: Hardback or Cased Book

ISBN-10: 1032035684

ISBN-13: 9781032035680

Series: Chapman & Hall/CRC Computational Intelligence and Its Applications

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 22nd, 2022

Print length: 234 Pages

Weight: 538 grams

Dimensions (height x width x thickness): 16.40 x 24.20 x 2.20 cms

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The book covers three areas along with the introduction to Intelligent IR, i.e. Optimal Information Retrieval using Evolutionary approaches, Semantic Search for Web Information Retrieval and Natural Language Processing for Information Retrieval.

Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.e., Optimal Information Retrieval Using Evolutionary Approaches, Semantic Search for Web Information Retrieval, and Natural Language Processing for Information Retrieval.

• Talks about the design, implementation, and performance issues of the hybrid intelligent information retrieval system in one book

• Gives a clear insight into challenges and issues in designing a hybrid information retrieval system

• Includes case studies on structured and unstructured data for hybrid intelligent information retrieval

• Provides research directions for the design and development of intelligent search engines

This book is aimed primarily at graduates and researchers in the information retrieval domain.


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