Fuzzy modeling and genetic algorithms for data mining and exploration:
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As youll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all ki...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam Boston
Elsevier/Morgan Kaufmann
© 2005
|
| Schriftenreihe: | Morgan Kaufmann series in data management systems
|
| Schlagworte: | |
| Online-Zugang: | FLA01 URL des Erstveröffentlichers |
| Zusammenfassung: | Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As youll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems. You dont need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed instruction in methods that you can immediately put to work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are used to create a complex scheduling system. * Written to provide analysts, engineers, and managers with the background and specific instruction needed to develop and implement more effective data mining systems. * Helps you to understand the trade-offs implicit in various models and model architectures. * Provides extensive coverage of fuzzy SQL querying, fuzzy clustering, and fuzzy rule induction. * Lays out a roadmap for exploring data, selecting model system measures, organizing adaptive feedback loops, selecting a model configuration, implementing a working model, and validating the final model. * In an extended example, applies evolutionary programming techniques to solve a complicated scheduling problem. * Presents examples in C, C++, Java, and easy-to-understand pseudo-code. * Extensive online component, including sample code and a complete data mining workbench |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource (xxi, 530 pages) illustrations |
| ISBN: | 9780121942755 0121942759 9780080470597 0080470599 1280961295 9781280961298 |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Cox, Earl |
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| id | DE-604.BV046123863 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:35:48Z |
| institution | BVB |
| isbn | 9780121942755 0121942759 9780080470597 0080470599 1280961295 9781280961298 |
| language | English |
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| spelling | Cox, Earl Verfasser aut Fuzzy modeling and genetic algorithms for data mining and exploration Earl Cox Amsterdam Boston Elsevier/Morgan Kaufmann © 2005 © 2005 1 online resource (xxi, 530 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Morgan Kaufmann series in data management systems Includes bibliographical references and index Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As youll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems. You dont need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed instruction in methods that you can immediately put to work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are used to create a complex scheduling system. * Written to provide analysts, engineers, and managers with the background and specific instruction needed to develop and implement more effective data mining systems. * Helps you to understand the trade-offs implicit in various models and model architectures. * Provides extensive coverage of fuzzy SQL querying, fuzzy clustering, and fuzzy rule induction. * Lays out a roadmap for exploring data, selecting model system measures, organizing adaptive feedback loops, selecting a model configuration, implementing a working model, and validating the final model. * In an extended example, applies evolutionary programming techniques to solve a complicated scheduling problem. * Presents examples in C, C++, Java, and easy-to-understand pseudo-code. * Extensive online component, including sample code and a complete data mining workbench COMPUTERS / Database Management / Data Mining bisacsh Data mining fast Fuzzy logic fast Genetic algorithms fast Data mining gtt Genetische algoritmen gtt Fuzzy logic gtt Data mining Fuzzy logic Genetic algorithms Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Modellierung (DE-588)4170297-9 gnd rswk-swf Genetischer Algorithmus (DE-588)4265092-6 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Data Mining (DE-588)4428654-5 s Modellierung (DE-588)4170297-9 s Fuzzy-Logik (DE-588)4341284-1 s Genetischer Algorithmus (DE-588)4265092-6 s 1\p DE-604 Wissensextraktion (DE-588)4546354-2 s 2\p DE-604 http://www.sciencedirect.com/science/book/9780121942755 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Cox, Earl Fuzzy modeling and genetic algorithms for data mining and exploration COMPUTERS / Database Management / Data Mining bisacsh Data mining fast Fuzzy logic fast Genetic algorithms fast Data mining gtt Genetische algoritmen gtt Fuzzy logic gtt Data mining Fuzzy logic Genetic algorithms Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd Modellierung (DE-588)4170297-9 gnd Genetischer Algorithmus (DE-588)4265092-6 gnd Fuzzy-Logik (DE-588)4341284-1 gnd |
| subject_GND | (DE-588)4546354-2 (DE-588)4428654-5 (DE-588)4170297-9 (DE-588)4265092-6 (DE-588)4341284-1 |
| title | Fuzzy modeling and genetic algorithms for data mining and exploration |
| title_auth | Fuzzy modeling and genetic algorithms for data mining and exploration |
| title_exact_search | Fuzzy modeling and genetic algorithms for data mining and exploration |
| title_full | Fuzzy modeling and genetic algorithms for data mining and exploration Earl Cox |
| title_fullStr | Fuzzy modeling and genetic algorithms for data mining and exploration Earl Cox |
| title_full_unstemmed | Fuzzy modeling and genetic algorithms for data mining and exploration Earl Cox |
| title_short | Fuzzy modeling and genetic algorithms for data mining and exploration |
| title_sort | fuzzy modeling and genetic algorithms for data mining and exploration |
| topic | COMPUTERS / Database Management / Data Mining bisacsh Data mining fast Fuzzy logic fast Genetic algorithms fast Data mining gtt Genetische algoritmen gtt Fuzzy logic gtt Data mining Fuzzy logic Genetic algorithms Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd Modellierung (DE-588)4170297-9 gnd Genetischer Algorithmus (DE-588)4265092-6 gnd Fuzzy-Logik (DE-588)4341284-1 gnd |
| topic_facet | COMPUTERS / Database Management / Data Mining Data mining Fuzzy logic Genetic algorithms Genetische algoritmen Wissensextraktion Data Mining Modellierung Genetischer Algorithmus Fuzzy-Logik |
| url | http://www.sciencedirect.com/science/book/9780121942755 |
| work_keys_str_mv | AT coxearl fuzzymodelingandgeneticalgorithmsfordataminingandexploration |