Web Searching and Mining [electronic resource] /
Mukhopadhyay, Debajyoti.editor.
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.
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. .
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.
Database management.
Data mining.
Information storage and retrieval systems.
Database Management.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.