Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Online ISSN : 1881-7203
Print ISSN : 1347-7986
ISSN-L : 1347-7986
Old and New Data Mining Topics: Imbalanced Data Problem, Privacy-Preserving Data Mining and Data Mining by Image Processing
Ayahiko NIIMI
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2020 Volume 32 Issue 1 Pages 9-12

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Abstract

Data mining is an old and new research field. Data mining has been studied as a method for processing a large amount of accumulated data. Data mining now handles not only a structured data that makes it easy to handle target data in a database, but also text data, graph data, and stream data. In the process, it was sometimes called big data, AI, deep learning, or data science. In long-lasting research, previously researched themes may change perspective and be taken up as new research themes. It is a theme that has once been taken up as a problem and has regained attention due to changes in the environment, and the problem may have been redefined from a different perspective than previously seen. In this paper, we will discuss non-uniform data, privacy-protected data mining, and data processing by image processing, and describe our previous research and new research themes.

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© 2020 Japan Society for Fuzzy Theory and Intelligent Informatics
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