DocumentCode :
640970
Title :
CI-LQD: A software tool for modeling and decision making with Low Quality Data
Author :
Palacios, Ana Maria ; Sanchez, L. ; Couso, Ines
Author_Institution :
Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain
fYear :
2013
fDate :
7-10 July 2013
Firstpage :
1
Lastpage :
8
Abstract :
The software tool CI-LQD (Computational Intelligence for Low Quality Data) is introduced in this paper. CI-LQD is an ongoing project that includes a lightweight open source software that has been designed with scientific and teaching purposes in mind. The main usefulness of the software is to automate the calculations involved in the statistical comparisons of different algorithms, with both numerical and graphical techniques, when the available information is interval-valued, fuzzy, incomplete or otherwise vague. A growing catalog of evolutionary algorithms for learning classifiers, models and association rules, along with their corresponding data conditioning and preprocessing techniques, is included. A demonstrative example of the tool is described that illustrates the capabilities of the software.
Keywords :
artificial intelligence; data mining; evolutionary computation; software tools; statistical analysis; CI-LQD; association rules; computational intelligence; data conditioning; data preprocessing technique; decision making; evolutionary algorithm; graphical technique; learning classifier; lightweight open source software; low quality data; software tool; statistical comparison; Algorithm design and analysis; Data mining; Databases; Probability distribution; Software algorithms; Software tools; Computational Intelligence; Evolutionary Algorithms; Low Quality Data; Software Tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
ISSN :
1098-7584
Print_ISBN :
978-1-4799-0020-6
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2013.6622418
Filename :
6622418
Link To Document :
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