Machine learning and knowledge discovery for engineering systems health management:
Saved in:
| Format: | Electronic eBook |
|---|---|
| Language: | English |
| Published: |
Boca Raton, Fla.
CRC Press, an imprint of Taylor & Francis Group
2012
|
| Series: | Chapman & Hall/CRC data mining and knowledge discovery series
|
| Subjects: | |
| Item Description: | Includes bibliographical references "Systems health is a broad multidisciplinary field of study that generates huge amounts of data and thus is an extremely appropriate forum in which to utilize machine learning and knowledge discovery techniques. This book explores the use of machine learning and knowledge discovery in systems health research. It covers data mining and text mining algorithms, anomaly detection, diagnostic and prognostic systems, and applications to engineering systems. Featuring contributions from leading experts, the book is the first to explore this emerging research area"-- |
| Physical Description: | 1 Online-Ressource (xxxvii, 449 p.) |
| ISBN: | 9781439841785 9781439841792 |
Staff View
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| 245 | 1 | 0 | |a Machine learning and knowledge discovery for engineering systems health management |c edited by Ashok N. Srivastava, Jiawei Han |
| 264 | 1 | |a Boca Raton, Fla. |b CRC Press, an imprint of Taylor & Francis Group |c 2012 | |
| 300 | |a 1 Online-Ressource (xxxvii, 449 p.) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Chapman & Hall/CRC data mining and knowledge discovery series | |
| 500 | |a Includes bibliographical references | ||
| 500 | |a "Systems health is a broad multidisciplinary field of study that generates huge amounts of data and thus is an extremely appropriate forum in which to utilize machine learning and knowledge discovery techniques. This book explores the use of machine learning and knowledge discovery in systems health research. It covers data mining and text mining algorithms, anomaly detection, diagnostic and prognostic systems, and applications to engineering systems. Featuring contributions from leading experts, the book is the first to explore this emerging research area"-- | ||
| 505 | 0 | |a section 1. Data-driven methods for systems health management -- section 2. Physics-based methods for systems health management -- section 3. Applications | |
| 533 | |a Online-Ausgabe |n Available via World Wide Web | ||
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a System failures (Engineering) / Prevention / Data processing | |
| 650 | 4 | |a Machine learning | |
| 700 | 1 | |a Srivastava, Ashok N. |e Sonstige |4 oth | |
| 700 | 1 | |a Han, Jiawei |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Reproduktion von |t Machine learning and knowledge discovery for engineering systems health management |d 2012 |
| 912 | |a ZDB-38-EBR | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-025867043 | ||
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| contents | section 1. Data-driven methods for systems health management -- section 2. Physics-based methods for systems health management -- section 3. Applications |
| ctrlnum | (OCoLC)785783053 (DE-599)BVBBV040887341 |
| dewey-full | 620/.00452 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620/.00452 |
| dewey-search | 620/.00452 |
| dewey-sort | 3620 3452 |
| dewey-tens | 620 - Engineering and allied operations |
| format | Electronic eBook |
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| id | DE-604.BV040887341 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:34:39Z |
| institution | BVB |
| isbn | 9781439841785 9781439841792 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025867043 |
| oclc_num | 785783053 |
| open_access_boolean | |
| physical | 1 Online-Ressource (xxxvii, 449 p.) |
| psigel | ZDB-38-EBR |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | CRC Press, an imprint of Taylor & Francis Group |
| record_format | marc |
| series2 | Chapman & Hall/CRC data mining and knowledge discovery series |
| spelling | Machine learning and knowledge discovery for engineering systems health management edited by Ashok N. Srivastava, Jiawei Han Boca Raton, Fla. CRC Press, an imprint of Taylor & Francis Group 2012 1 Online-Ressource (xxxvii, 449 p.) txt rdacontent c rdamedia cr rdacarrier Chapman & Hall/CRC data mining and knowledge discovery series Includes bibliographical references "Systems health is a broad multidisciplinary field of study that generates huge amounts of data and thus is an extremely appropriate forum in which to utilize machine learning and knowledge discovery techniques. This book explores the use of machine learning and knowledge discovery in systems health research. It covers data mining and text mining algorithms, anomaly detection, diagnostic and prognostic systems, and applications to engineering systems. Featuring contributions from leading experts, the book is the first to explore this emerging research area"-- section 1. Data-driven methods for systems health management -- section 2. Physics-based methods for systems health management -- section 3. Applications Online-Ausgabe Available via World Wide Web Datenverarbeitung System failures (Engineering) / Prevention / Data processing Machine learning Srivastava, Ashok N. Sonstige oth Han, Jiawei Sonstige oth Reproduktion von Machine learning and knowledge discovery for engineering systems health management 2012 |
| spellingShingle | Machine learning and knowledge discovery for engineering systems health management section 1. Data-driven methods for systems health management -- section 2. Physics-based methods for systems health management -- section 3. Applications Datenverarbeitung System failures (Engineering) / Prevention / Data processing Machine learning |
| title | Machine learning and knowledge discovery for engineering systems health management |
| title_auth | Machine learning and knowledge discovery for engineering systems health management |
| title_exact_search | Machine learning and knowledge discovery for engineering systems health management |
| title_full | Machine learning and knowledge discovery for engineering systems health management edited by Ashok N. Srivastava, Jiawei Han |
| title_fullStr | Machine learning and knowledge discovery for engineering systems health management edited by Ashok N. Srivastava, Jiawei Han |
| title_full_unstemmed | Machine learning and knowledge discovery for engineering systems health management edited by Ashok N. Srivastava, Jiawei Han |
| title_short | Machine learning and knowledge discovery for engineering systems health management |
| title_sort | machine learning and knowledge discovery for engineering systems health management |
| topic | Datenverarbeitung System failures (Engineering) / Prevention / Data processing Machine learning |
| topic_facet | Datenverarbeitung System failures (Engineering) / Prevention / Data processing Machine learning |
| work_keys_str_mv | AT srivastavaashokn machinelearningandknowledgediscoveryforengineeringsystemshealthmanagement AT hanjiawei machinelearningandknowledgediscoveryforengineeringsystemshealthmanagement |