Data Mining Methods for Knowledge Discovery:
Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algori...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1998
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science
458 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems |
| Beschreibung: | 1 Online-Ressource (XXI, 495 p) |
| ISBN: | 9781461555896 |
| DOI: | 10.1007/978-1-4615-5589-6 |
Internformat
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| 520 | |a Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems | ||
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4615-5589-6 |
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| spelling | Cios, Krzysztof J. 1950- Verfasser (DE-588)122432673 aut Data Mining Methods for Knowledge Discovery by Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski Boston, MA Springer US 1998 1 Online-Ressource (XXI, 495 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 458 Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems Computer Science Data Structures, Cryptology and Information Theory Information Storage and Retrieval Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Information storage and retrieval Artificial intelligence Data Mining (DE-588)4428654-5 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Data Mining (DE-588)4428654-5 s 2\p DE-604 Pedrycz, Witold 1953- (DE-588)122838203 aut Swiniarski, Roman W. aut Erscheint auch als Druck-Ausgabe 9781461375579 https://doi.org/10.1007/978-1-4615-5589-6 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 | Cios, Krzysztof J. 1950- Pedrycz, Witold 1953- Swiniarski, Roman W. Data Mining Methods for Knowledge Discovery Computer Science Data Structures, Cryptology and Information Theory Information Storage and Retrieval Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Information storage and retrieval Artificial intelligence Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4143413-4 |
| title | Data Mining Methods for Knowledge Discovery |
| title_auth | Data Mining Methods for Knowledge Discovery |
| title_exact_search | Data Mining Methods for Knowledge Discovery |
| title_full | Data Mining Methods for Knowledge Discovery by Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski |
| title_fullStr | Data Mining Methods for Knowledge Discovery by Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski |
| title_full_unstemmed | Data Mining Methods for Knowledge Discovery by Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski |
| title_short | Data Mining Methods for Knowledge Discovery |
| title_sort | data mining methods for knowledge discovery |
| topic | Computer Science Data Structures, Cryptology and Information Theory Information Storage and Retrieval Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Information storage and retrieval Artificial intelligence Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Computer Science Data Structures, Cryptology and Information Theory Information Storage and Retrieval Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Information storage and retrieval Artificial intelligence Data Mining Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-4615-5589-6 |
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