Data Mining Using Grammar Based Genetic Programming and Applications:
Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader,...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer US
2002
|
Ausgabe: | 1st ed. 2002 |
Schriftenreihe: | Genetic Programming
3 |
Schlagworte: | |
Online-Zugang: | UBY01 Volltext |
Zusammenfassung: | Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining, evolutionary algorithms and inductive logic programming. It then describes a framework, called GGP (Generic Genetic Programming), that integrates GP and ILP based on a formalism of logic grammars. The formalism is powerful enough to represent context- sensitive information and domain-dependent knowledge. This knowledge can be used to accelerate the learning speed and/or improve the quality of the knowledge induced. A grammar-based genetic programming system called LOGENPRO (The LOGic grammar based GENetic PROgramming system) is detailed and tested on many problems in data mining. It is found that LOGENPRO outperforms some ILP systems. We have also illustrated how to apply LOGENPRO to emulate Automatically Defined Functions (ADFs) to discover problem representation primitives automatically. By employing various knowledge about the problem being solved, LOGENPRO can find a solution much faster than ADFs and the computation required by LOGENPRO is much smaller than that of ADFs. Moreover, LOGENPRO can emulate the effects of Strongly Type Genetic Programming and ADFs simultaneously and effortlessly. Data Mining Using Grammar Based Genetic Programming and Applications is appropriate for researchers, practitioners and clinicians interested in genetic programming, data mining, and the extraction of data from databases |
Beschreibung: | 1 Online-Ressource (XIV, 214 p) |
ISBN: | 9780306470127 |
DOI: | 10.1007/b116131 |
Internformat
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Datensatz im Suchindex
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author | Man Leung Wong Kwong Sak Leung |
author_facet | Man Leung Wong Kwong Sak Leung |
author_role | aut aut |
author_sort | Man Leung Wong |
author_variant | m l w mlw k s l ksl |
building | Verbundindex |
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collection | ZDB-2-SCS |
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dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.1007/b116131 |
edition | 1st ed. 2002 |
format | Electronic eBook |
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illustrated | Not Illustrated |
index_date | 2024-07-03T16:12:22Z |
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institution | BVB |
isbn | 9780306470127 |
language | English |
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publisher | Springer US |
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series2 | Genetic Programming |
spelling | Man Leung Wong Verfasser aut Data Mining Using Grammar Based Genetic Programming and Applications by Man Leung Wong, Kwong Sak Leung 1st ed. 2002 New York, NY Springer US 2002 1 Online-Ressource (XIV, 214 p) txt rdacontent c rdamedia cr rdacarrier Genetic Programming 3 Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining, evolutionary algorithms and inductive logic programming. It then describes a framework, called GGP (Generic Genetic Programming), that integrates GP and ILP based on a formalism of logic grammars. The formalism is powerful enough to represent context- sensitive information and domain-dependent knowledge. This knowledge can be used to accelerate the learning speed and/or improve the quality of the knowledge induced. A grammar-based genetic programming system called LOGENPRO (The LOGic grammar based GENetic PROgramming system) is detailed and tested on many problems in data mining. It is found that LOGENPRO outperforms some ILP systems. We have also illustrated how to apply LOGENPRO to emulate Automatically Defined Functions (ADFs) to discover problem representation primitives automatically. By employing various knowledge about the problem being solved, LOGENPRO can find a solution much faster than ADFs and the computation required by LOGENPRO is much smaller than that of ADFs. Moreover, LOGENPRO can emulate the effects of Strongly Type Genetic Programming and ADFs simultaneously and effortlessly. Data Mining Using Grammar Based Genetic Programming and Applications is appropriate for researchers, practitioners and clinicians interested in genetic programming, data mining, and the extraction of data from databases Artificial Intelligence Data Structures and Information Theory Artificial intelligence Data structures (Computer science) Genetische Programmierung (DE-588)4500172-8 gnd rswk-swf Genetischer Algorithmus (DE-588)4265092-6 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Data Mining (DE-588)4428654-5 s Genetische Programmierung (DE-588)4500172-8 s DE-604 Genetischer Algorithmus (DE-588)4265092-6 s Kwong Sak Leung aut Erscheint auch als Druck-Ausgabe 9781475784213 Erscheint auch als Druck-Ausgabe 9780792377467 Erscheint auch als Druck-Ausgabe 9781475784206 https://doi.org/10.1007/b116131 Verlag URL des Eerstveröffentlichers Volltext |
spellingShingle | Man Leung Wong Kwong Sak Leung Data Mining Using Grammar Based Genetic Programming and Applications Artificial Intelligence Data Structures and Information Theory Artificial intelligence Data structures (Computer science) Genetische Programmierung (DE-588)4500172-8 gnd Genetischer Algorithmus (DE-588)4265092-6 gnd Data Mining (DE-588)4428654-5 gnd |
subject_GND | (DE-588)4500172-8 (DE-588)4265092-6 (DE-588)4428654-5 |
title | Data Mining Using Grammar Based Genetic Programming and Applications |
title_auth | Data Mining Using Grammar Based Genetic Programming and Applications |
title_exact_search | Data Mining Using Grammar Based Genetic Programming and Applications |
title_exact_search_txtP | Data Mining Using Grammar Based Genetic Programming and Applications |
title_full | Data Mining Using Grammar Based Genetic Programming and Applications by Man Leung Wong, Kwong Sak Leung |
title_fullStr | Data Mining Using Grammar Based Genetic Programming and Applications by Man Leung Wong, Kwong Sak Leung |
title_full_unstemmed | Data Mining Using Grammar Based Genetic Programming and Applications by Man Leung Wong, Kwong Sak Leung |
title_short | Data Mining Using Grammar Based Genetic Programming and Applications |
title_sort | data mining using grammar based genetic programming and applications |
topic | Artificial Intelligence Data Structures and Information Theory Artificial intelligence Data structures (Computer science) Genetische Programmierung (DE-588)4500172-8 gnd Genetischer Algorithmus (DE-588)4265092-6 gnd Data Mining (DE-588)4428654-5 gnd |
topic_facet | Artificial Intelligence Data Structures and Information Theory Artificial intelligence Data structures (Computer science) Genetische Programmierung Genetischer Algorithmus Data Mining |
url | https://doi.org/10.1007/b116131 |
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