O. Maimon; M. Last Knowledge Discovery and Data Mining 9781441948427

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Автор: O. Maimon; M. Last
Название: Knowledge Discovery and Data Mining
ISBN: 9781441948427
Издательство: Springer
Классификация:

Математические основы

Вероятность и статистика

Алгоритмы и структуры данных

Искусственный интеллект

ISBN-10: 1441948422
Обложка/Формат: Paperback
Страницы: 168
Вес: 0.27 кг.
Дата издания: 07.12.2010
Серия: Massive Computing
Язык: English
Размер: 234 x 156 x 10
Основная тема: Computer Science
Подзаголовок: The Info-Fuzzy Network (IFN) Methodology
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the books web site (http: //www.eng.tau.ac.iV-maimonlifn-kdg ). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).

Knowledge Discovery and Data Mining, O. Maimon; M. Last