Published January 1, 2000
by Springer .
Written in English
|The Physical Object|
|Number of Pages||232|
Although this series no longer publishes new content, the published titles listed below may be still available on-line (e. g. via the Springer Book Archives) and in print. Data Mining Using Grammar-Based Genetic Programming and Applications February Get this from a library! Data mining using grammar based genetic programming and applications. [Man Leung Wong; Kwong Sak Leung] -- Data mining involves the non-trivial extraction of implicit, . Genetic Programming and Evolvable Machines June , Volume 2, Issue 2, pp – | Cite as Book Review: Data Mining Using Grammar-Based Genetic Programming and ApplicationsCited by: 4.
Data Mining Using Grammar Based Genetic Programming and Applications (Wong and Leung ) Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language (O’Neill and . Genre/Form: Electronic books: Additional Physical Format: Print version: Wong, Man Leung. Data Mining Using Grammar-Based Genetic Programming and Applications. GENETICPROGRAMMING SERIES SeriesEditor JohnKoza Stanford University Also in the series: GENETIC PROGRAMMING AND DATA STRUCTURES: Genetic Programming + Data Structures = . Automatic Re-engineering of Software Using Genetic Programming. Amsterdam: Kluwer Academic Publishers. Wong, Man Leung and Leung, Kwong Sak. Data Mining Using Grammar Based .
Applications of genetic programming in data mining January Project: The Nile River - Book Project - Contributed book published by Springer Int. Publisher in introduction of Data Mining and more speciﬁcally the two subject areas of Data Mining we will be looking at: classiﬁcation and regression. Next we give an introduction about evolutionary computation in . In artificial intelligence, genetic programming (GP) is a technique of evolving programs, starting from a population of unfit (usually random) programs, fit for a particular task by applying operations . Keywords: web usage mining, rule discovery, web-based adaptive education, evolutionary algorithms, grammar-based genetic programming. 1 Introduction The application of knowledge discovery Cited by: 1.