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Web Searching and Mining 2019 ed. [Hardback]

  • Formāts: Hardback, 166 pages, height x width: 235x155 mm, weight: 454 g, 5 Illustrations, color; 77 Illustrations, black and white; XVI, 166 p. 82 illus., 5 illus. in color., 1 Hardback
  • Sērija : Cognitive Intelligence and Robotics
  • Izdošanas datums: 11-Feb-2019
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811330522
  • ISBN-13: 9789811330520
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  • Hardback
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  • Formāts: Hardback, 166 pages, height x width: 235x155 mm, weight: 454 g, 5 Illustrations, color; 77 Illustrations, black and white; XVI, 166 p. 82 illus., 5 illus. in color., 1 Hardback
  • Sērija : Cognitive Intelligence and Robotics
  • Izdošanas datums: 11-Feb-2019
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811330522
  • ISBN-13: 9789811330520
Citas grāmatas par šo tēmu:

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.

Introduction
1(28)
Debajyoti Mukhopadhyay
Sukanta Sinha
Preliminaries on Cellular Automata
29(8)
Debajyoti Mukhopadhyay
Anirban Kundu
Design of SMACA
37(14)
Debajyoti Mukhopadhyay
Anirban Kundu
SMACA Usage in Indexing Storage of a Search Engine
51(14)
Debajyoti Mukhopadhyay
Anirban Kundu
Cellular Automata in Web-Page Ranking
65(10)
Debajyoti Mukhopadhyay
Anirban Kundu
Web-Page Indexing Based on the Prioritize Ontology Terms
75(10)
Debajyoti Mukhopadhyay
Sukanta Sinha
Domain-Specific Crawler Design
85(28)
Debajyoti Mukhopadhyay
Sukanta Sinha
Structural Change of Domain-Specific Web-Page Repository for Efficient Searching
113(32)
Debajyoti Mukhopadhyay
Sukanta Sinha
Domain-Specific Web-Page Prediction
145(10)
Debajyoti Mukhopadhyay
Sukanta Sinha
Domain-Specific Lucky Searching
155
Debajyoti Mukhopadhyay
Sukanta Sinha
Dr. Debajyoti Mukhopadhyay is currently the Dean (R&D) and Professor & Head of Computer Engineering at NHITM affiliated to Mumbai University (India). He previously worked in the IT industry for nineteen years, including at the well-known Bell Communications Research, USA, and in academia for sixteen years, including as the Dean (R&D) of Maharashtra Institute of Technology, Pune, India. He has published over 190 research papers and holds three patents. Dr. Mukhopadhyay previously worked in the corporate sector, holding top-level positions, such as the President & CEO, Director and General Manager and oversaw a large number of professionals managing multiple off-shore projects from India. Dr. Mukhopadhyay has been elected as the Distinguished Speaker of the Computer Society of India. He had held Visiting Positions at: Chonbuk National University (South Korea), George Mason University (USA), Thapar University (India). He holds a PhD (Engineering) from Jadavpur University (India), an MS in Computer Science from Stevens Institute of Technology (USA), Post Graduate Diploma in Computer Science from The Queens University of Belfast (UK) and a BE (Electronics & Telecommunications Engineering) from Bengal Engineering College under the University of Calcutta. Dr. Mukhopadhyay is an FIE, FIETE, SMIEEE (USA), SMACM (USA), CEngg., MIMA (India), and Elected Member of Eta-Kappa-Nu (the EE Honor Society of the USA).