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)
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 numerous and complex ways. In particular, for data that is generated intermittently, attention has been focused on data streams that use sensor network and stream(More)
— 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)
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.