Data Mining for Association Rules and Sequential Patterns : Sequential and Parallel Algorithms

Jean-Marc Adamo

ISBN 10: 1461265118 / ISBN 13: 9781461265115

Edité par Springer New York, 2012

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9781461265115

Détails bibliographiques

• Titre: Data Mining for Association Rules and Sequential Patterns : Sequential and Parallel Algorithms
• Éditeur: Springer New York
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 1461265118
• ISBN à 13 chiffres: 9781461265115
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

A state-of-the-art monograph on essential algorithms used for sophisticated data mining methods used with large-scale databases. Essential book for practitioners and professionals in computer science and computer engineering.

Présentation de l'éditeur

Recent advances in data collection, storage technologies, and computing power have made it possible for companies, government agencies and scientific laboratories to keep and manipulate vast amounts of data relating to their activities. This state-of-the-art monograph discusses essential algorithms for sophisticated data mining methods used with large-scale databases, focusing on two key topics: association rules and sequential pattern discovery. This will be an essential book for practitioners and professionals in computer science and computer engineering.