Data Mining and Knowledge Discovery with Evolutionary Algorithms:
This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mining consists of extracting knowledge from da...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2002
|
| Ausgabe: | 1st ed. 2002 |
| Schriftenreihe: | Natural Computing Series
|
| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-3-662-04923-5 https://doi.org/10.1007/978-3-662-04923-5 |
| Zusammenfassung: | This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mining consists of extracting knowledge from data. In this book we particularly emphasize the importance of discovering comprehensible and interesting knowledge, which is potentially useful to the reader for intelligent decision making. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowledge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search. This book presents a comprehensive review of basic concepts on both data mining and evolutionary algorithms and discusses significant advances in the integration of these two areas. It is self-contained, explaining both basic concepts and advanced topics |
| Umfang: | 1 Online-Ressource (XIV, 265 p) |
| ISBN: | 9783662049235 |
| DOI: | 10.1007/978-3-662-04923-5 |
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Datensatz im Suchindex
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| discipline | Informatik |
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| id | DE-604.BV047064789 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:08:45Z |
| institution | BVB |
| isbn | 9783662049235 |
| language | English |
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| physical | 1 Online-Ressource (XIV, 265 p) |
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| publisher | Springer Berlin Heidelberg |
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| spelling | Freitas, Alex A. Verfasser aut Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas 1st ed. 2002 Berlin, Heidelberg Springer Berlin Heidelberg 2002 1 Online-Ressource (XIV, 265 p) txt rdacontent c rdamedia cr rdacarrier Natural Computing Series This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mining consists of extracting knowledge from data. In this book we particularly emphasize the importance of discovering comprehensible and interesting knowledge, which is potentially useful to the reader for intelligent decision making. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowledge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search. This book presents a comprehensive review of basic concepts on both data mining and evolutionary algorithms and discusses significant advances in the integration of these two areas. It is self-contained, explaining both basic concepts and advanced topics Data Structures and Information Theory Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Algorithm Analysis and Problem Complexity Database Management Data structures (Computer science) Artificial intelligence Data mining Information storage and retrieval Algorithms Database management Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Produktionsregelsystem (DE-588)4258171-0 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 s Produktionsregelsystem (DE-588)4258171-0 s Evolutionärer Algorithmus (DE-588)4366912-8 s DE-604 Data Mining (DE-588)4428654-5 s Erscheint auch als Druck-Ausgabe 9783642077630 Erscheint auch als Druck-Ausgabe 9783662049242 Erscheint auch als Druck-Ausgabe 9783540433316 https://doi.org/10.1007/978-3-662-04923-5 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Freitas, Alex A. Data Mining and Knowledge Discovery with Evolutionary Algorithms Data Structures and Information Theory Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Algorithm Analysis and Problem Complexity Database Management Data structures (Computer science) Artificial intelligence Data mining Information storage and retrieval Algorithms Database management Evolutionärer Algorithmus (DE-588)4366912-8 gnd Produktionsregelsystem (DE-588)4258171-0 gnd Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4366912-8 (DE-588)4258171-0 (DE-588)4546354-2 (DE-588)4428654-5 |
| title | Data Mining and Knowledge Discovery with Evolutionary Algorithms |
| title_auth | Data Mining and Knowledge Discovery with Evolutionary Algorithms |
| title_exact_search | Data Mining and Knowledge Discovery with Evolutionary Algorithms |
| title_full | Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas |
| title_fullStr | Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas |
| title_full_unstemmed | Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas |
| title_short | Data Mining and Knowledge Discovery with Evolutionary Algorithms |
| title_sort | data mining and knowledge discovery with evolutionary algorithms |
| topic | Data Structures and Information Theory Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Algorithm Analysis and Problem Complexity Database Management Data structures (Computer science) Artificial intelligence Data mining Information storage and retrieval Algorithms Database management Evolutionärer Algorithmus (DE-588)4366912-8 gnd Produktionsregelsystem (DE-588)4258171-0 gnd Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Data Structures and Information Theory Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Algorithm Analysis and Problem Complexity Database Management Data structures (Computer science) Artificial intelligence Data mining Information storage and retrieval Algorithms Database management Evolutionärer Algorithmus Produktionsregelsystem Wissensextraktion Data Mining |
| url | https://doi.org/10.1007/978-3-662-04923-5 |
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