Hypothesis Generation and Interpretation

​Hiroshi Ishikawa received the B.S. and Ph.D degrees in Information Science from the University of Tokyo. After working for Fujitsu Laboratories and being a full professor of Shizuoka University, he was a full professor of Tokyo Metropolitan University (TMU) until March, 2021. He is now a distinguished leading professor and an emeritus professor of TMU. He is also the director of TMU Social Big Data Research Center. His research interests include databases, data mining, social media, and big data.He has published actively in international, refereed journals and conferences, such as ACM Transactions on Database Systems, IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, IEEE International Conference on Data Engineering, and ACM SIGSPATIAL and Management of Emergent Digital EcoSystems (MEDES). He has authored and co-authored a dozen books, including Social Big Data Mining (CRC, 2015) and Object-Oriented Database System (Springer-Verlag, 1993). He received the Sakai Memorial Distinguished Award from the Information Processing Society of Japan (IPSJ) in 1994, Commendation by the Director General of Science and Technology Agency of Japan in 1997, Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology of Japan in 2021, and Commendation from the Database Society  of Japan in 2022. He was twice an invited professor at the Polytechnic School of the University of Nantes, France. He was a trustee board member of the Database Society of Japan, an editorial board member of The VLDB Journal, the chairman of the SIG on Database Systems of IPSJ, and an editor-in-chief of IPSJ Trans. on Databases. He is a co-founder of ACM MEDES conference. He is a Fellow of  the IPSJ and the Institute of Electronics, Information and Communication Engineers (IEICE) and a member of both the ACM and the IEEE.

• Basic Concept.- Hypothesis.- Science and Hypothesis.- Regression.- Machine Learning and Integrated Approach.- Hypothesis Generation by Difference.- Methods for Integrated Hypothesis Generation.- Interpretation.