Summary
Data Science is not only a synthetic concept to unify statistics, data analysis and their related methods but also comprises its results. It includes three phases, design for data, collection of data, and analysis on data. Fundamental concepts and various methods based on it are discussed with a heuristic example.
The roundtable discussion “Perspectives in classification and the Future of IFCS” was held at the last Conference under the chairmanship of Professor H. -H. Bock. In this panel discussion, I used the phrase ‘Data Science’. There was a question, “What is ‘Data Science’? ” I briefly answered it. This is the starting point of the present paper.
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Hayashi, C. (1998). What is Data Science ? Fundamental Concepts and a Heuristic Example. In: Hayashi, C., Yajima, K., Bock, HH., Ohsumi, N., Tanaka, Y., Baba, Y. (eds) Data Science, Classification, and Related Methods. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65950-1_3
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DOI: https://doi.org/10.1007/978-4-431-65950-1_3
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