Data Mining for Design and Manufacturing: Methods and Applications
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 pres...
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Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer US
2001
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Ausgabe: | 1st ed. 2001 |
Schriftenreihe: | Massive Computing
3 |
Schlagworte: | |
Online-Zugang: | UBY01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (XVIII, 524 p) |
ISBN: | 9781475749113 |
DOI: | 10.1007/978-1-4757-4911-3 |
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Datensatz im Suchindex
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dewey-full | 005.82 |
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dewey-ones | 005 - Computer programming, programs, data, security |
dewey-raw | 005.82 |
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discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.1007/978-1-4757-4911-3 |
edition | 1st ed. 2001 |
format | Electronic eBook |
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id | DE-604.BV047064614 |
illustrated | Not Illustrated |
index_date | 2024-07-03T16:12:22Z |
indexdate | 2024-07-10T09:01:35Z |
institution | BVB |
isbn | 9781475749113 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471726 |
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owner_facet | DE-706 |
physical | 1 Online-Ressource (XVIII, 524 p) |
psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
publishDate | 2001 |
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publisher | Springer US |
record_format | marc |
series2 | Massive Computing |
spelling | Data Mining for Design and Manufacturing Methods and Applications edited by D. Braha 1st ed. 2001 New York, NY Springer US 2001 1 Online-Ressource (XVIII, 524 p) txt rdacontent c rdamedia cr rdacarrier Massive Computing 3 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 Cryptology Coding and Information Theory Data Structures and Information Theory Artificial Intelligence Complex Systems Statistical Physics and Dynamical Systems Data encryption (Computer science) Coding theory Information theory Data structures (Computer science) Artificial intelligence Statistical physics Dynamical systems Braha, D. edt Erscheint auch als Druck-Ausgabe 9781441952059 Erscheint auch als Druck-Ausgabe 9781402000348 Erscheint auch als Druck-Ausgabe 9781475749120 https://doi.org/10.1007/978-1-4757-4911-3 Verlag URL des Eerstveröffentlichers Volltext |
spellingShingle | Data Mining for Design and Manufacturing Methods and Applications Cryptology Coding and Information Theory Data Structures and Information Theory Artificial Intelligence Complex Systems Statistical Physics and Dynamical Systems Data encryption (Computer science) Coding theory Information theory Data structures (Computer science) Artificial intelligence Statistical physics Dynamical systems |
title | Data Mining for Design and Manufacturing Methods and Applications |
title_auth | Data Mining for Design and Manufacturing Methods and Applications |
title_exact_search | Data Mining for Design and Manufacturing Methods and Applications |
title_exact_search_txtP | Data Mining for Design and Manufacturing Methods and Applications |
title_full | Data Mining for Design and Manufacturing Methods and Applications edited by D. Braha |
title_fullStr | Data Mining for Design and Manufacturing Methods and Applications edited by D. Braha |
title_full_unstemmed | Data Mining for Design and Manufacturing Methods and Applications edited by D. Braha |
title_short | Data Mining for Design and Manufacturing |
title_sort | data mining for design and manufacturing methods and applications |
title_sub | Methods and Applications |
topic | Cryptology Coding and Information Theory Data Structures and Information Theory Artificial Intelligence Complex Systems Statistical Physics and Dynamical Systems Data encryption (Computer science) Coding theory Information theory Data structures (Computer science) Artificial intelligence Statistical physics Dynamical systems |
topic_facet | Cryptology Coding and Information Theory Data Structures and Information Theory Artificial Intelligence Complex Systems Statistical Physics and Dynamical Systems Data encryption (Computer science) Coding theory Information theory Data structures (Computer science) Artificial intelligence Statistical physics Dynamical systems |
url | https://doi.org/10.1007/978-1-4757-4911-3 |
work_keys_str_mv | AT brahad dataminingfordesignandmanufacturingmethodsandapplications |