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Books > Computing & IT > Applications of computing > Artificial intelligence
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Inductive Inference for Large Scale Text Classification - Kernel Approaches and Techniques (Hardcover, 2010 ed.)
Loot Price: R4,614
Discovery Miles 46 140
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Inductive Inference for Large Scale Text Classification - Kernel Approaches and Techniques (Hardcover, 2010 ed.)
Series: Studies in Computational Intelligence, 255
Expected to ship within 12 - 17 working days
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Text classification is becoming a crucial task to analysts in
different areas. In the last few decades, the production of textual
documents in digital form has increased exponentially. Their
applications range from web pages to scientific documents,
including emails, news and books. Despite the widespread use of
digital texts, handling them is inherently difficult - the large
amount of data necessary to represent them and the subjectivity of
classification complicate matters. This book gives a concise view
on how to use kernel approaches for inductive inference in large
scale text classification; it presents a series of new techniques
to enhance, scale and distribute text classification tasks. It is
not intended to be a comprehensive survey of the state-of-the-art
of the whole field of text classification. Its purpose is less
ambitious and more practical: to explain and illustrate some of the
important methods used in this field, in particular kernel
approaches and techniques.
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