World Wide Web Database
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Mining the World Wide Web
Author: George Chang
language: en
Publisher: Springer Science & Business Media
Release Date: 2001-07-31
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.
Web-powered Databases
"Providing a snapshot of current methods and development activities in the area of Internet databases, this book supplies answers to many questions that have been raised regarding database access through the web. Provided are a number of case studies of successful web database applications, including multiple-choice assessment through the web, an online pay claim, a product catalog, and content management and dynamic web pages. Also covered are querying and mining of web data and issues such as gaining physical/low-level access to web-powered databases and heterogeneous web databases."
World Wide Web Database Developer's Guide
'CD-ROM contains authors' sample databases, source code, and over 30 third-party tools' Cover.