Ebook: 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.

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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.

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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.
Content:
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

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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.
Content:
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
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