16-06-2012, 11:26 AM
A DATA MINING SOFTWARE TOOL INTEGRATING GENETIC FUZZY SYSTEMS
ABSTRACT
This work introduces the software tool KEEL to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering, pattern mining and so on. It includes a big collection of genetic fuzzy system algorithms based on different approaches: Pittsburgh, Michigan, IRL and GCCL. It allows us to perform a complete analysis of any genetic fuzzy system in comparison to existing ones, including a statistical test module for comparison.
Existing system:
Many fuzzy logic software tools have been developed to reduce a wide range of scientific problems. Although a lot of them are commercially distributed (for example, MATLAB Fuzzy logic toolbox1).
Their use requires a certain programming expertise along with considerable time and effort to write a computer program for implementing the often sophisticated algorithm according to user needs.
Proposed system:
We introduce a non-commercial Java software tool named KEEL (Knowledge Extraction based on Evolutionary Learning). This empowers the user to assess the behavior of EAs for different kinds of Data Mining (DM) problems: regression, classification, clustering, pattern mining, etc. The application of EAs for learning fuzzy systems is also included in KEEL. It allows us to perform a complete analysis of any genetic fuzzy system in comparison to existing ones.
Hardware Requirements:
Processor : At least P3 (1 GHZ clock)
RAM : 128 MB
Hard size capacity : at least 4 GB
Free Space in Hard disk : Minimum 1MB
Software Requirements:
Programming language (Compiler) : JAVA (JDK) 1.6
Operating system :Windows98 or higher version
ABSTRACT
This work introduces the software tool KEEL to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering, pattern mining and so on. It includes a big collection of genetic fuzzy system algorithms based on different approaches: Pittsburgh, Michigan, IRL and GCCL. It allows us to perform a complete analysis of any genetic fuzzy system in comparison to existing ones, including a statistical test module for comparison.
Existing system:
Many fuzzy logic software tools have been developed to reduce a wide range of scientific problems. Although a lot of them are commercially distributed (for example, MATLAB Fuzzy logic toolbox1).
Their use requires a certain programming expertise along with considerable time and effort to write a computer program for implementing the often sophisticated algorithm according to user needs.
Proposed system:
We introduce a non-commercial Java software tool named KEEL (Knowledge Extraction based on Evolutionary Learning). This empowers the user to assess the behavior of EAs for different kinds of Data Mining (DM) problems: regression, classification, clustering, pattern mining, etc. The application of EAs for learning fuzzy systems is also included in KEEL. It allows us to perform a complete analysis of any genetic fuzzy system in comparison to existing ones.
Hardware Requirements:
Processor : At least P3 (1 GHZ clock)
RAM : 128 MB
Hard size capacity : at least 4 GB
Free Space in Hard disk : Minimum 1MB
Software Requirements:
Programming language (Compiler) : JAVA (JDK) 1.6
Operating system :Windows98 or higher version