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Web Searching and Mining

  • Debajyoti Mukhopadhyay

Part of the Cognitive Intelligence and Robotics book series (CIR)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Debajyoti Mukhopadhyay, Sukanta Sinha, Sukanta Sinha
    Pages 1-27
  3. Debajyoti Mukhopadhyay, Anirban Kundu
    Pages 29-35
  4. Debajyoti Mukhopadhyay, Anirban Kundu
    Pages 37-50
  5. Debajyoti Mukhopadhyay, Anirban Kundu
    Pages 51-63
  6. Debajyoti Mukhopadhyay, Anirban Kundu
    Pages 65-74
  7. Debajyoti Mukhopadhyay, Sukanta Sinha
    Pages 75-84
  8. Debajyoti Mukhopadhyay, Sukanta Sinha
    Pages 85-112
  9. Debajyoti Mukhopadhyay, Sukanta Sinha
    Pages 113-144
  10. Debajyoti Mukhopadhyay, Sukanta Sinha
    Pages 145-154
  11. Debajyoti Mukhopadhyay, Sukanta Sinha
    Pages 155-166

About this book

Introduction

This book presents the basics of search engines and their components. It introduces, for the first time, the concept of Cellular Automata in Web technology and discusses the prerequisites of Cellular Automata. In today’s world, searching data from the World Wide Web is a common phenomenon for virtually everyone. It is also a fact that searching the tremendous amount of data from the Internet is a mammoth task – and handling the data after retrieval is even more challenging. In this context, it is important to understand the need for space efficiency in data storage. Though Cellular Automata has been utilized earlier in many fields, in this book the authors experiment with employing its strong mathematical model to address some critical issues in the field of Web Mining.

Keywords

Search Engine Cellular Automata Web Page Predition Ontology Domain Specific Search

Editors and affiliations

  • Debajyoti Mukhopadhyay
    • 1
  1. 1.NHITMUniversity of MumbaiThane (West)India

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-3053-7
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-3052-0
  • Online ISBN 978-981-13-3053-7
  • Series Print ISSN 2520-1956
  • Series Online ISSN 2520-1964
  • Buy this book on publisher's site
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