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.
George Chang & Marcus Healey
Mining the World Wide Web [PDF ebook]
An Information Search Approach
Mining the World Wide Web [PDF ebook]
An Information Search Approach
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语言 英语 ● 格式 PDF ● ISBN 9781461516392 ● 出版者 Springer US ● 发布时间 2012 ● 下载 3 时 ● 货币 EUR ● ID 4661100 ● 复制保护 Adobe DRM
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