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    Mining the World Wide Web

Mining the World Wide Web

George Chang, Marcus Healey, James A. M. McHugh, T.L. Wang
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      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.
      Format: CONTRIBUTORS: George Chang, Marcus Healey, James A. M. McHugh, T.L. Wang EAN: 9780792373490 COUNTRY: Netherlands PAGES: WEIGHT: 990 g HEIGHT: 235 cm
      PUBLISHED BY: Springer DATE PUBLISHED: 2001-07-31 CITY: GENRE: COMPUTERS / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Information Theory WIDTH: 155 cm SPINE:

      Book Themes:

      Information theory, Information technology: general topics, Algorithms and data structures, Data warehousing, Information retrieval, Artificial intelligence

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      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.
      Format: CONTRIBUTORS: George Chang, Marcus Healey, James A. M. McHugh, T.L. Wang EAN: 9780792373490 COUNTRY: Netherlands PAGES: WEIGHT: 990 g HEIGHT: 235 cm
      PUBLISHED BY: Springer DATE PUBLISHED: 2001-07-31 CITY: GENRE: COMPUTERS / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Information Theory WIDTH: 155 cm SPINE:

      Book Themes:

      Information theory, Information technology: general topics, Algorithms and data structures, Data warehousing, Information retrieval, Artificial intelligence

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