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.

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 Queen's 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).

Autorentext

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 Queen's 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).

Inhalt

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.