Team > Atsuho Nakayama

Rechts- und Wirtschaftswissenschaftliche Fakultät
Lehrstuhl für Marketing und Innovation

Education

April, 2003 - March, 2006: Doctor Degree’s Program in Applied Sociology, Graduate School of Management, Rikkyo (St. Paul’s) University, Tokyo, Japan

April, 2001 - March, 2003: Master Degree’s Program in Applied Sociology, Graduate School of Management, Rikkyo (St. Paul’s) University, Tokyo, Japan

April, 1997 - March, 2001: Department of the Industrial Relations, School of Social Relations, Rikkyo (St. Paul’s) University, Tokyo, Japan

List of Selected Publications

Nakayama, A. (2017). The Classification and Visualization of Twitter Trending Topics Considering Time Series Variation. In F. Palumbo, A. Montanari, M. Vichi, (Eds.), Data Science -Innovative Developments in Data Analysis and Clustering (pp 161-173). Heidelberg-Berlin, Springer-Verlag.

Nakayama, A. (2016). Evaluating the Necessity of a Triadic Distance Model. In A. F. X. Wilhelm, and H. A. Kestler (Eds.), Analysis of Large and Complex Data (pp. 195-205). Heidelberg-Berlin, Springer-Verlag.

Nakayama, A. Masuda, J. and Tsurumi, H. (2015). Twitter Topic Classification in Consideration of Time Series Variation. Bulletin of Data Analysis of Japanese Classification Society (in Japanese), 4, pp.17-41.

Nakayama, A. (2013). Analysis of Conditional and Marginal Association in One-Mode Three-way Proximity Data. In W. Gaul, A. Geyer-Schultz, Y. Baba and A. Okada (Eds.), German-Japanese Interchange of Data Analysis Results (pp. 135-146). Berlin, Springer.

Nakayama, A. Tsurumi, H., and Okada, A. (2013). A Symmetry Test for One-Mode Three-Way Proximity Data. In W. Gaul, A. Geyer-Schultz, Y. Baba and A. Okada (Eds.), German-Japanese Interchange of Data Analysis Results (pp. 125-134). Berlin, Springer.

Nakayama, A., and Okada, A. (2012). Reconstructing One-mode Three-way Asymmetric Data for Multidimensional Scaling. In W. Gaul, A. Geyer-Schulz, L. Schmidt-Thieme and J. Kunze (Eds.), Challenges at the interface of Data Analysis, Computer Science, and Optimization, Springer, pp. 133-141.

Yokoyama, S., Nakayama, A., and Okada, A. (2010). An application of one-mode three-way overlapping cluster analysis. In H. Locarek-Junge and C. Weihs (Eds.), Classification as a Tool for Research (pp. 193-200). Heidelberg-Berlin, Springer-Verlag.

Nakayama, A. (2009). Analysis of purchase intentions at a department store by three-way distance model. In A. Okada, T. Imaizumi, H.-H. Bock, and W. Gaul (Eds.), Cooperation in Classification and Data Analysis (pp. 189-196)., Heidelberg-Berlin, Springer-Verlag.

Yokoyama, S., Nakayama, A., Okada, A. (2009). One-mode three-way overlapping cluster analysis. Computational Statistics, 24, 165-179.

Nakayama, A. (2005). A multidimensional scaling model for three-way data analysis. Behaviormetrika, 32, 2, 95-110.

Nakayama, A. (2004). Analysis of multicategory purchase incidence decisions and consumer behaviors at a department store by multidimensional scaling. Proceedings of Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems, Article WE-8-6 from CD.

Rechts- und Wirtschaftswissenschaftliche Fakultät
Lehrstuhl für Marketing und Innovation

Atsuho Nakayama
Associate Professor of Marketing Science

Graduate School of Social Sciences Tokyo Metropolitan University 1-1 Minami-Ohsawa, Hachioji-shi, 192-0397, Japan

E-Mail: bwl14@uni-bayreuth.de