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Books > Computing & IT > Applications of computing > Artificial intelligence
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Supervised Descriptive Pattern Mining (Paperback, Softcover reprint of the original 1st ed. 2018)
Loot Price: R3,119
Discovery Miles 31 190
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Supervised Descriptive Pattern Mining (Paperback, Softcover reprint of the original 1st ed. 2018)
Expected to ship within 10 - 15 working days
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This book provides a general and comprehensible overview of
supervised descriptive pattern mining, considering classic
algorithms and those based on heuristics. It provides some formal
definitions and a general idea about patterns, pattern mining, the
usefulness of patterns in the knowledge discovery process, as well
as a brief summary on the tasks related to supervised descriptive
pattern mining. It also includes a detailed description on the
tasks usually grouped under the term supervised descriptive pattern
mining: subgroups discovery, contrast sets and emerging patterns.
Additionally, this book includes two tasks, class association rules
and exceptional models, that are also considered within this field.
A major feature of this book is that it provides a general overview
(formal definitions and algorithms) of all the tasks included under
the term supervised descriptive pattern mining. It considers the
analysis of different algorithms either based on heuristics or
based on exhaustive search methodologies for any of these tasks.
This book also illustrates how important these techniques are in
different fields, a set of real-world applications are described.
Last but not least, some related tasks are also considered and
analyzed. The final aim of this book is to provide a general review
of the supervised descriptive pattern mining field, describing its
tasks, its algorithms, its applications, and related tasks (those
that share some common features). This book targets developers,
engineers and computer scientists aiming to apply classic and
heuristic-based algorithms to solve different kinds of pattern
mining problems and apply them to real issues. Students and
researchers working in this field, can use this comprehensive book
(which includes its methods and tools) as a secondary textbook.
General
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