Web Searching and Mining [electronic resource] /

Contributor(s):

Material type: Text

TextSeries: Cognitive Intelligence and RoboticsPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XVI, 166 p. 82 illus., 5 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789811330537

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.74 23

LOC classification:

QA76.9.D3

Online resources:

Click here to access online

Contents:

Chapter 1. Introduction -- Chapter 2. Preliminaries on Cellular Automata -- Chapter 3. Design of SMACA -- Chapter 4. SMACA usage in Indexing Storage of a Search Engine -- Chapter 5. Cellular Automata in Web Page Ranking -- Chapter 6. Web-page Indexing based on the Prioritize Ontology Terms -- Chapter 7. Domain Specific Crawler Design -- Chapter 8. Structural Change of Domain Specific Web-page Repository for Efficient Searching -- Chapter 9. Domain Specific Web-page Prediction -- Chapter 10. Domain Specific Lucky Searching. .

In: Springer Nature eBookSummary: 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.

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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.

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