Sa?o D?eroski; Bart Goethals; Pan?e Panov Inductive Databases and Constraint-Based Data Mining 9781489982179

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Автор: Sa?o D?eroski; Bart Goethals; Pan?e Panov
Название: Inductive Databases and Constraint-Based Data Mining
ISBN: 9781489982179
Издательство: Springer
Классификация:

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ISBN-10: 1489982175
Обложка/Формат: Paperback
Страницы: 456
Вес: 0.66 кг.
Дата издания: 13.11.2014
Язык: English
Издание: 2010 ed.
Иллюстрации: Xvii, 456 p.
Размер: 234 x 156 x 24
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni?cation of pattern mining approaches through constraint programming, the clari?cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant problems from bioinformatics are presented. Inductive databases (IDBs) represent a database view on data mining and kno- edge discovery. IDBs contain not only data, but also generalizations (patterns and models) valid in the data. In an IDB, ordinary queries can be used to access and - nipulate data, while inductive queries can be used to generate (mine), manipulate, and apply patterns and models. In the IDB framework, patterns and models become ”?rst-class citizens” and KDD becomes an extended querying process in which both the data and the patterns/models that hold in the data are queried.
Дополнительное описание: Inductive Databases and Constraint-based Data Mining: Introduction and Overview.- Representing Entities in the OntoDM Data Mining Ontology.- A Practical Comparative Study Of Data Mining Query Languages.- A Theory of Inductive Query Answering.- Constraint-

Inductive Databases and Constraint-Based Data Mining, Sa?o D?eroski; Bart Goethals; Pan?e Panov