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. Front Matter....Pages i-xvii Front Matter....Pages 1-1 Keyword-Based Search Engines....Pages 3-18 Query-Based Search Systems....Pages 19-34 Mediators and Wrappers....Pages 35-50 Multimedia Search Engines....Pages 51-63 Front Matter....Pages 65-65 Data Mining....Pages 67-80 Text Mining....Pages 81-92 Web Mining....Pages 93-104 Web Crawling Agents....Pages 105-115 Front Matter....Pages 117-117 Envirodaemon....Pages 119-136 Back Matter....Pages 137-170