Data Mining Using Grammar Based Genetic Programming and Applications epub
Data Mining Using Grammar Based Genetic Programming and Applications epub
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Author: Kwong Sak Leung
Page Count: 214 pages
Published Date: 21 Mar 2013
Publisher: Springer-Verlag New York Inc.
Publication Country: New York, NY, United States
Language: English
Format: eBook
ISBN: 9781475784213
File Name: Data.Mining.Using.Grammar.Based.Genetic.Programming.and.Applications.pdf
Download Link: Data Mining Using Grammar Based Genetic Programming and Applications
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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.
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Stefan Loose Reiseführer Kanada Der Osten : mit Reiseatlas epub
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Data Mining Using Grammar Based Genetic Programming and Applications by Kwong Sak Leung
Author: Kwong Sak Leung
Page Count: 214 pages
Published Date: 21 Mar 2013
Publisher: Springer-Verlag New York Inc.
Publication Country: New York, NY, United States
Language: English
Format: eBook
ISBN: 9781475784213
File Name: Data.Mining.Using.Grammar.Based.Genetic.Programming.and.Applications.pdf
Download Link: 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, 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.
Read online Data Mining Using Grammar Based Genetic Programming and Applications Buy and read online Data Mining Using Grammar Based Genetic Programming and Applications Download and read Data Mining Using Grammar Based Genetic Programming and Applications for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Data Mining Using Grammar Based Genetic Programming and Applications
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Publications, Issue 1 pdfStefan Loose Reiseführer Kanada Der Osten : mit Reiseatlas epub
Download ebook Kongakut River Odyssey 2006
99 Tipps für den erfolgreichen Nebenerwerb : Vom Minijob bis zur freiberuflichen und gewerblichen Teilzeitselbständigkeit book
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