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.It may also show the way to others who might wish to create similar custom search engines. ... We decided to use Harvest software tools , the Glimpse index/search mechanism  and the associated software that is required by Harvest and ... indexes that permit these attributes to be referenced during queries (e.g., searching for all documents with a certain regular expression in the title field). ... EnviroDaemon does not require a fast processor, but does require more memory.
|Title||:||Mining the World Wide Web|
|Author||:||George Chang, Marcus Healey, James A. M. McHugh, T.L. Wang|
|Publisher||:||Springer Science & Business Media - 2012-12-06|