By Prateek Agrawal, Anupam Shukla, Ritu Tiwari (auth.), Wen Yu, Edgar N. Sanchez (eds.)
This booklet constitutes the court cases of the second one foreign Workshop on complicated Computational Intelligence (IWACI2009), with a sequel of IWACI 2008 effectively held in Macao, China. IWACI2009 supplied a high-level overseas discussion board for scientists, engineers, and educators to offer state of the art learn in computational intelligence and comparable fields.
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At each point, a fivefold cross-validation is conducted. The point with the best CV accuracy is chosen and used to predict the test data. All the experiments are based on the software LibSVM . For each dataset , 80 percent of the data is used for training and the rest is used for testing. The prediction performance is evaluated by Mean Square Error (MSE). Application Research of Local Support Vector Machines in Condition Trend Prediction Fig. 2. On mpg dataset, the predict-error and SVs as a function of MSE = 39 ε 1 n ( yi − yi′) 2 ∑ n i =1 (9) The results of the experiment are presented in Tabel 1.
Heaton Research (October 2008) 17. : Introduction, Association Rules Mining: A Recent Overview, Educational Software Development Laboratory, Department of Mathematics, University of Patras, Greece (2006) 18. : Prediction of Tides using back-Propergation Neural Networks. In: International Conference in Ocean Engineering (December 2001) 19. : A Self Growing Cluster Development Approach to Data Mining. In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, San Diego, USA, pp.
For the purpose of rule mining, algorithms such as Apriori, Predictive Apriori and Tertius were considered . The decision of going through Predictive Apriori was taken after going through relevant literature and discovering its advantage in using for large item sets.  This paper will discuss about the research carried out by the research team and the results obtained by the research. Section 2 of this paper will explain the underlying theory behind the AI techniques used in this project. Section 3 will look at the implementation details followed by the research team in order to come up with the expected results.