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Hybrid intelligent systems for information retrieval / Anuradha D Thakare, Shilpa Laddha, Ambika Pawar.

By: Contributor(s): Material type: TextSeries: Chapman & Hall/CRC computational intelligence and its applicationsPublisher: Boca Raton : Chapman & Hall/CRC Press, 2023Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781003187974
  • 1003187978
  • 9781000783322
  • 1000783324
  • 9781000783360
  • 1000783367
Subject(s): DDC classification:
  • 025.04 23/eng/20220812
LOC classification:
  • Z699
Online resources: Summary: "With the digitization of the entire world, the data gets generated at a fast pace. Extracting and retrieving useful information and patterns becomes challenging as information is not always in structured form. Therefore, there is a need for the design and development of Hybrid Intelligent Information Retrieval System. Broadly four approaches are covered in this book for design and development of Intelligent Information Retrieval: 1. Evolutionary approach for optimal Information Retrieval, 2. Novel Matching functions for Information Retrieval, 3. Natural Language Processing for Modern Information Retrieval 4. Development of Semantically enhanced Web Information Retrieval"-- Provided by publisher.
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"With the digitization of the entire world, the data gets generated at a fast pace. Extracting and retrieving useful information and patterns becomes challenging as information is not always in structured form. Therefore, there is a need for the design and development of Hybrid Intelligent Information Retrieval System. Broadly four approaches are covered in this book for design and development of Intelligent Information Retrieval: 1. Evolutionary approach for optimal Information Retrieval, 2. Novel Matching functions for Information Retrieval, 3. Natural Language Processing for Modern Information Retrieval 4. Development of Semantically enhanced Web Information Retrieval"-- Provided by publisher.

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