Learn More
Global society has experienced a flood of various types of data as well as a growing desire to discover and use this information effectively. Moreover, this data is changing in increasingly huge and complex ways. In particular, for data that is generated intermittently and at different intervals, attention has been focused on data streams that use(More)
Genetic programming (GP) usually has a wide search space and can use tree structure as its chromosome expression. So, GP may search for global optimum solution. But, in general, GP's learning speed is not so fast. Apriori algorithm is one of algorithms for generation of association rules. It can be applied to large database. But, It is difficult to define(More)
In this paper, two major applications are introduced to develop advanced deep learning methods for credit-card data analysis. The proposed methods are validated using benchmark experiments with other machine learnings. The experiments confirm that deep learning exhibits similar accuracy to the Gaussian kernel SVM.
— There is increased interest in accurate model acquisition from large scale data streams. In this paper, because we have focused attention on time-oriented variation, we propose a method contracting time-series data for data stream. Additionally, our proposal method employs the combination of plural simple contraction method and original features. In this(More)