Web Mining : Applications and Techniques

Edited by Anthony Scime. Web Mining Applications and Techniques offers an orthogonal approach to Web personalization, after an introduction to the need for Web mining and personalization, specific applications and techniques in Web content mining. Researchers and students in the fields of information and knowledge creation, storage, dissemination, and retrieval in various disciplines will find this book a starting point for new research. Developers and managers of Web technologies involved with content development, storage, and retrieval will be able to use this book to advance the state of the art in Web utilization. --Book jacketDr. Anthony Scime received the Doctor of Arts in 1997 from George Mason University with an interdisciplinary focus in Information Systems and Education. Currently he is at the Computer Science Department of the State University of New York College at Brockport; where he teaches courses in systems analysis and design, project management, and computer systems organization. Prior to joining academia he spent over 20 years in industry and government applying information systems to solve large-scale problems. He is an Internationally Registered Technology Specialist (IR7) in the fields of Information Systems and Knowledge Management, and has been listed in the International Who’s Who of Information Technology. His research interests include the World Wide Web as an information system and database, information retrieval, knowledge creation and management, decision making from information, and computing education.https://digitalcommons.brockport.edu/bookshelf/1141/thumbnail.jp