Methods and Applications
Edición de la obra Data Mining for Design and Manufacturing
| Autor | Dan Braha |
|---|---|
| Editorial | Springer US |
| Fecha de publicación | 2001 |
| Lugar | Boston, MA |
| Idioma | inglés |
| Páginas | 524 |
| Formato | [electronic resource] : |
| ISBN-13 | 9781441952059, 9781475749113 |
| ISBN-10 | 1441952055, 1475749112 |
| OCLC | 851741718 |
| Serie | Massive Computing -- 3 · Massive computing -- 3. |
| Número de Cutter | B813d |
|---|
Data Mining for Design and Manufacturing: Methods and Applications is the first book that brings together research and applications for data mining within design and manufacturing. The aim of the book is 1) to clarify the integration of data mining in engineering design and manufacturing, 2) to present a wide range of domains to which data mining can be applied, 3) to demonstrate the essential need for symbiotic collaboration of expertise in design and manufacturing, data mining, and information technology, and 4) to illustrate how to overcome central problems in design and manufacturing environments. The book also presents formal tools required to extract valuable information from design and manufacturing data, and facilitates interdisciplinary problem solving for enhanced decision making. Audience: The book is aimed at both academic and practising audiences. It can serve as a reference or textbook for senior or graduate level students in Engineering, Computer, and Management Sciences who are interested in data mining technologies. The book will be useful for practitioners interested in utilizing data mining techniques in design and manufacturing as well as for computer software developers engaged in developing data mining tools.