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Web mining aims to discover useful information and
knowledge from the Web hyperlink structure, page contents, and usage
data. Although Web mining uses many conventional data mining techniques,
it is not purely an application of traditional data mining due to the
semistructured and unstructured nature of the Web data and its
heterogeneity. It has also developed many of its own algorithms and
techniques.Liu has written a comprehensive text on Web data mining. Key
topics of structure mining, content mining, and usage mining are covered
both in breadth and in depth. His book brings together all the
essential concepts and algorithms from related areas such as data
mining, machine learning, and text processing to form an authoritative
and coherent text. The book offers a rich blend of theory and practice,
addressing seminal research ideas, as well as examining the technology
from a practical point of view. It is suitable for students, researchers
and practitioners interested in Web mining both as a learning text and a
reference book. Lecturers can readily use it for classes on data
mining, Web mining, and Web search. Additional teaching materials such
as lecture slides, datasets, and implemented algorithms are available
online.
Categories:Computers - Programming
Year:2007
Edition:1
Publisher:Springer
Language:english
Pages:552
