Jean-Marc Adamo Data Mining for Association Rules and Sequential Patterns 9781461265115

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Автор: Jean-Marc Adamo
Название: Data Mining for Association Rules and Sequential Patterns
ISBN: 9781461265115
Издательство: Springer
Классификация: ISBN-10: 1461265118
Обложка/Формат: Paperback
Страницы: 254
Вес: 0.38 кг.
Дата издания: 14.09.2012
Язык: English
Размер: 234 x 156 x 14
Основная тема: Computer Science
Подзаголовок: Sequential and Parallel Algorithms
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Data mining includes a wide range of activities such as classification, clustering, similarity analysis, summarization, association rule and sequential pattern discovery, and so forth. The book focuses on the last two previously listed activities. It provides a unified presentation of algorithms for association rule and sequential pattern discovery. For both mining problems, the presentation relies on the lattice structure of the search space. All algorithms are built as processes running on this structure. Proving their properties takes advantage of the mathematical properties of the structure. Part of the motivation for writing this book was postgraduate teaching. One of the main intentions was to make the book a suitable support for the clear exposition of problems and algorithms as well as a sound base for further discussion and investigation. Since the book only assumes elementary mathematical knowledge in the domains of lattices, combinatorial optimization, probability calculus, and statistics, it is fit for use by undergraduate students as well. The algorithms are described in a C-like pseudo programming language. The computations are shown in great detail. This makes the book also fit for use by implementers: computer scientists in many domains as well as industry engineers.

Data Mining for Association Rules and Sequential Patterns, Jean-Marc Adamo