Computational Intelligence in Data Mining

Sports Result Prediction Based on Machine Learning and Computational Intelligence Approaches: A Survey

In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned by experts, coaches, team managers, and analyzers. However, sports organizations have recently realized the abundant science available in their data and sought to take advantage of that science through the use of data mini...

Mining and Control of Network Traffic by Computational Intelligence

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On-line Hybrid System of Computational Intelligence for Data Streams Adaptive Processing

Nowadays computational intelligence methods are widely spread in different tasks solving in Data Mining under uncertainty, nonlinearity, and disturbed by different type of stochastic, chaotic noises conditions. In the paper the hybrid neuro-neo-fuzzy system of computational intelligence is proposed. This system is distinguished by the computational simplicity, the learning process high speed an...

Data mining technology for countering cybercrime A computational intelligence perspective

Cybercrime is any IT-based criminal offense. Because freely accessing to the Internet, cybercriminal entities threaten everyone, everywhere, every day. From remote individuals to the most powerful governments, none is absolutely immune from cybercrime constantly-mutating and devastating operations. Fortunately, there are scientific methods and technological means to counter it. This paper attem...

Oriented k-windows: A PCA driven clustering method

Technical Report HPCLAB-SCG 2/02-06 (revised 3/06) LABORATORY: High Performance Information Systems Laboratory GRANTS: University of Patras “Karatheodori” Grant; Bodossaki Foundation Graduate Fellowship. REPOSITORY http://scgroup.hpclab.ceid.upatras.gr REF: In Advances in Web Intelligence and Data Mining, M. Last, P.S. Szcepaniak, Z. Volkovich and A. Kandel eds., Springer Studies in Computation...

IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013, Singapore, 16-19 April, 2013