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Books > Computing & IT > Applications of computing > Artificial intelligence
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Mining and Analyzing Social Networks (Hardcover, 2010 ed.)
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Mining and Analyzing Social Networks (Hardcover, 2010 ed.)
Series: Studies in Computational Intelligence, 288
Expected to ship within 12 - 17 working days
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Mining social networks has now becoming a very popular research
area not only for data mining and web mining but also social
network analysis. Data mining is a technique that has the ability
to process and analyze large amount of data and by this to discover
valuable information from the data. In recent year, due to the
growth of social communications and social networking websites,
data mining becomes a very important and powerful technique to
process and analyze such large amount of data. Thus, this book will
focus upon Mining and Analyzing social network. Some chapters in
this book are extended from the papers that presented in MSNDS2009
(the First International Workshop on Mining Social Networks for
Decision Support) and SNMABA2009 ((The International Workshop on
Social Networks Mining and Analysis for Business Applications)). In
addition, we also sent invitations to researchers that are famous
in this research area to contribute for this book. The chapters of
this book are introduced as follows: In chapter 1-Graph Model for
Pattern Recognition in Text, Qin Wu et al. present a novel approach
that uses a weighted directed multigraph for text pattern
recognition. In the proposed methodology, a weighted directed
multigraph model has been set up by using the distances between the
keywords as the weights of arcs as well a keyword-frequency
distance based algorithm has also been introduced. Case studies are
also included in this chapter to show the performance is better
than traditional means.
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