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Machine learning In E- Technologies

Journal: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) (Vol.4, No. 2)

Publication Date:

Authors : ; ;

Page : 103-108

Keywords : Machine Learning; Intelligent Data Analysis; Data Mining Techniques; E- Technologies government; Neural Networks; Fuzzy Logic; Genetic algorithm; Case based reasoning; SVM; Swarm intelligence.;

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Abstract

Machine learning is one of the most interesting research areas in Computing and more specifically with great impact in Information Systems, Computer Science, and Information Technology. E-Technology Systems requires integration of Machine Learning, Information Retrieval, Data mining algorithms into specific application domains. The main issues are to design, develop and implement effective Machine learning Systems that improve currently existing applications. Such systems mainly rely upon activity data produced by the system itself and on a custom designed data analysis process that produces desired knowledge according with certain constraints set up by a domain expert. Moreover how data mining can help in detection and prevention of any attack. Information security violations such as access control violations. Finally we present a comparative analysis between selected models to improve security.

Last modified: 2015-05-15 20:17:26