Web Mining Methods for the Detection of Authoritative Sources
Theory and Practice
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The development of information society in recent decades has enabled collecting, filtering and storing huge amounts of data. These data must be further processed to gain valuable information and knowledge. The scientific field dealing with extracting information and knowledge from data has evolved rapidly to cope with the extent and growth of information sources the number of which has geometrically increased with the appearance of the World Wide Web. All traditional approaches in information retrieval, knowledge acquisition, and data mining must be adapted for the dynamic, heterogeneous, and ...
The development of information society in recent decades has enabled collecting, filtering and storing huge amounts of data. These data must be further processed to gain valuable information and knowledge. The scientific field dealing with extracting information and knowledge from data has evolved rapidly to cope with the extent and growth of information sources the number of which has geometrically increased with the appearance of the World Wide Web. All traditional approaches in information retrieval, knowledge acquisition, and data mining must be adapted for the dynamic, heterogeneous, and unstructured data on the Web. Web mining has come into being as a fully-fledged research discipline. This book presents state-of-the-art knowledge of Web mining from the perspective of looking for authoritative sources. Besides introduction to the theoretical concepts of Web crawling, ranking algorithms, and social networks, results of practical experiments are shown as well. In particular, a brand new algorithm for bibliographic networks is introduced. This publication will be especially useful to professionals, researchers, and students in the field of data mining and information retrieval.
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