Mining the World Wide Web - An Information Search Approach

Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining.
Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.

List of contents

I Information Retrieval on the Web.- 1. Keyword-Based Search Engines.- 2. Query-Based Search Systems.- 3. Mediators and Wrappers.- 4. Multimedia Search Engines.- II Data Mining on the Web.- 5. Data Mining.- 6. Text Mining.- 7. Web Mining.- 8. Web Crawling Agents.- III A Case Study in Environmental Engineering.- 9. Envirodaemon.- References.

Summary

Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining.
Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.

Product details

• Authors: Georg Chang, George Chang, Marcu Healey, Marcus Healey, James A M et McHugh, James A. M. McHugh, T. L. Wang, T.L. Wang
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 13.03.2013
• EAN: 9781461356547
• ISBN: 978-1-4613-5654-7
• No. of pages: 170
• Dimensions: 157 mm x 235 mm x 13 mm
• Illustrations: XVII, 170 p.
• Series: The Information Retrieval Series; The Information Retrieval Series
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing; C, Künstliche Intelligenz, Algorithmen und Datenstrukturen, Artificial Intelligence, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Informationstheorie, computer science, Information Retrieval, Professions, Visualization, algorithms and data structures, Data Structures and Information Theory, Information theory, Information Storage and Retrieval, Data structures (Computer science), The Computing Profession, Information storage and retrieval systems, Web Mining