Data mining using grammar based genetic programming and applications - Info and Reading Options
By Man Leung Wong and Kwong Sak Leung
"Data mining using grammar based genetic programming and applications" was published by Kluwer Academic in 2000 - Boston, it has 213 pages and the language of the book is English.
“Data mining using grammar based genetic programming and applications” Metadata:
- Title: ➤ Data mining using grammar based genetic programming and applications
- Authors: Man Leung WongKwong Sak Leung
- Language: English
- Number of Pages: 213
- Publisher: Kluwer Academic
- Publish Date: 2000
- Publish Location: Boston
“Data mining using grammar based genetic programming and applications” Subjects and Themes:
- Subjects: ➤ Data mining - Genetic programming (Computer science) - Data structures (Computer science) - Computer science - Artificial intelligence - Computer Programming - Databases & data structures - General - Computers - Data Base Management - Database Engineering - Computers - Database Management - General - Computer Books: General - Database Management - Database Mining - Computers / Artificial Intelligence - Programming - General - Genetic programming (Computer - Computer Bks - Data Base Management - Artificial Intelligence - General - Genetic algorithms
Edition Specifications:
- Pagination: xiv, 213 p. :
Edition Identifiers:
- The Open Library ID: OL60042M - OL552007W
- Online Computer Library Center (OCLC) ID: 43031203
- Library of Congress Control Number (LCCN): 99089334
- ISBN-13: 9780792377467
- ISBN-10: 079237746X
- All ISBNs: 079237746X - 9780792377467
AI-generated Review of “Data mining using grammar based genetic programming and applications”:
"Data mining using grammar based genetic programming and applications" Description:
The Open Library:
"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. The book first sets the necessary background for the readers, which includes 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.". "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."--BOOK JACKET.
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