Data science for smoothly utilizing large amounts of data.
Information and Communication Technology (Saitama University Research Seed Collection 2025-27 p.92)
Keywords: Data Science, Exploratory Data Analysis, Database, Machine Learning, Artificial Intelligence
The advancement of computer performance, the increase in storage capacity, and the explosive growth of information circulating on the internet have significantly changed our living environment. In research and development settings, it is becoming increasingly important to utilize not only the knowledge and experience accumulated by individuals and research labs but also the vast amounts of data measured by experimental equipment and the ever-growing literature and databases. However, even when trying to utilize available data, there are cases where data is not organized or only printed data is available, making it difficult to start data analysis easily. Additionally, even after the data is prepared, making progress toward conclusions requires decision-making based on certain skills and experience regarding what to derive from the data, which analysis methods to use, and how to evaluate the results. The collective term for the technologies that address these challenges is data science, and currently, we are engaged in research on exploratory data analysis methods to facilitate understanding of data, as well as in the development of engineers and researchers equipped with specialized knowledge and the qualities of data scientists.
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Kaoru Hiramatsu, Professor Graduate School of Science and Engineering 【Recent Research Themes】 ● Efficiency improvement of exploratory data analysis of open data including geographical elements ● Acceleration of interactive data visualization in exploratory data analysis ● Digitization of paper materials using OCR and data cleansing
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【Appeal Points to the Industry】 ● Based on practical experience in companies and educational experience at universities and graduate schools, I am engaged in research and development in data science and the training of engineers and researchers. ● I accept various consultations regarding the utilization of existing data. 【Examples of Practical Application, Case Studies, and Utilization】 ● Construction of a data analysis environment using open-source software ● Digitization of paper documents using OCR and linking and deduplication with existing data ● High-speed conversion of geographic data aggregation units (regional meshes, administrative boundaries, etc.)
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The Saitama University Open Innovation Center is a center that functions as a liaison office for industry-academia-government collaboration. It consists of three departments: the Industry-Academia-Government Collaboration Department, the Intellectual Property Department, and the Startup Support Department, each staffed with coordinators well-versed in various fields. The center's activities include solving technical challenges in companies, supporting the implementation of joint research, and conducting technology transfer aimed at introducing and utilizing Saitama University's intellectual property.