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Adaptive Web Sites - A Knowledge Extraction from Web Data Approach (Hardcover, New)
Loot Price: R3,788
Discovery Miles 37 880
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Adaptive Web Sites - A Knowledge Extraction from Web Data Approach (Hardcover, New)
Series: Frontiers in Artificial Intelligence and Applications, v. 170
Expected to ship within 12 - 17 working days
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This book can be presented in two different ways. Firstly, it
introduces a particular methodology to build adaptive Web sites and
secondly, it presents the main concepts behind Web mining and then
applying them to adaptive Web sites. In this case, Adaptive Web
Sites is the case study to exemplify the tools introduced in the
text. The authors start by introducing the Web and motivating the
need for adaptive Web sites. The second chapter introduces the main
concepts behind a Web site: its operation, its associated data and
structure, user sessions, etc. Chapter three explains the Web
mining process and the tools to analyze Web data, mainly focused in
machine learning. The fourth chapter looks at how to store and
manage data. Chapter five looks at the three main and different
mining tasks: content, links and usage. The following chapter
covers Web personalization; a crucial topic if we want to adapt our
site to specific groups of people. Chapter seven shows how to use
information extraction techniques to find user behavior patterns.
The subsequent chapter explains how to acquire and maintain
knowledge extracted from the previous phase. Finally, chapter nine
contains the case study where all the previous concepts are applied
to present a framework to build adaptive Web sites. In other words,
the authors have taken care of writing a self-contained book for
people that want to learn and apply personalization and adaptation
in Web sites. This is commendable considering the large and
increasing bibliography in these and related topics. The writing is
easy to follow and although the coverage is not exhaustive, the
main concepts and topics are all covered.
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