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Department: Any ÅAU / Department of Information Technologies UTU / Department of Information Technology UTU / Department of Mathematics and Statistics UTU / Turku School of Economics, Institute of Information Systems Sciences

Research Unit: Any Algorithmics and Computational Intelligence Group (ACI) Biomathematics Research Unit (BIOMATH) Communication Systems (ComSys) Computational Biomodeling Laboratory (Combio Lab) Data Mining and Knowledge Management Laboratory Distributed Systems Laboratory (DS Lab) Embedded Computer and Electronic Systems (ECES) Embedded Systems Laboratory (ESLAB) FUNDIM, Fundamentals of Computing and Discrete Mathematics Institute for Advanced Management Systems Research (IAMSR) Learning and Reasoning Lab Software Construction Laboratorium Software Development Laboratory (SwDev) Software Engineering Laboratory (SE Lab) Turku BioNLP Group Turku Optimization Group (TOpGroup) UTU Information Systems Science (ISS)

Publication type: Any Monographs Edited books Edited special issues of journals Edited proceedings Articles in journals Articles in proceedings Chapters in edited books Ph.D. thesis Lic. thesis Technical reports

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Articles in journals (3):

• Zhiyuan Yao, Peter Sarlin, Tomas Eklund, Barbro Back, Combining Visual Customer Segmentation and Response Modeling. Neural Computing and Applications 25(1), 123–134, 2014.
• Peter Sarlin, Zhiyuan Yao, Clustering of the Self-Organizing Time Map. Neurocomputing 121, 317–327, 2013.
• Peter Sarlin, Zhiyuan Yao, Tomas Eklund, A Framework for State Transitions on the Self-Organizing Map: Some Temporal Financial Applications. Intelligent Systems in Accounting, Finance and Management 19(1), 189–203, 2012.

Articles in proceedings (9):

• Annika Holmbom, Peter Sarlin, Zhiyuan Yao, Tomas Eklund, Barbro Back, Visual Data-Driven Profiling of Green Consumers. In: Proceedings of the International Conference on Information Visualization, 291–298, IEEE, 2013.
• Hongyan Liu, Zhiyuan Yao, Tomas Eklund, Barbro Back, From Smart Meter Data to Pricing Intelligence – Visual Data-Mining Towards Real-Time BI. In: K.D. Joshi, Youngjin Yoo (Eds.), AMCIS, 1–10, AISeL, 2012.
• Hongyan Liu, Zhiyuan Yao, Tomas Eklund, Barbro Back, Electricity Consumption Time Series Profiling: A Data Mining Application in Energy Industry. In: Petra Perner (Ed.), Advances in Data Mining: Applications and Theoretical Aspects, Lecture Notes in Computer Science 7377, 52–66, Springer, 2012.
• Peter Sarlin, Zhiyuan Yao, Tomas Eklund, Probabilistic Modeling of State Transitions on the Self-Organizing Map: Some Temporal Financial Applications. In: Ralph H. Jr. Sprague (Ed.), Proceedings of the 45th Hawaii International Conference on System Sciences, 1128–1137, IEEE Press, 2012.
• Zhiyuan Yao, Peter Sarlin, Tomas Eklund, Barbro Back, Combining Visual Customer Segmentation and Response Modelling. In: ECIS 2012 Proceedings, 1–10, AIS Electronic Library (AISeL), 2012.
• Zhiyuan Yao, Peter Sarlin, Tomas Eklund, Barbro Back, Temporal Customer Segmentation Using the Self-Organizing Time Map. In: Ebad Banissi, Stefan Bertschi, Camilla Forsell, Jimmy Johansson, Sarah Kenderdine, Francis T. Marchese, Muhammad Sarfraz, Liz Stuart, Anna Ursyn, Theodor G. Wyeld, Hanane Azzag, Mustapha Lebba, G. Venturini (Eds.), Proceedings of the 2012 16th International Conference on Information Visualisation (IV), 234–240, IEEE Press, 2012.
• Zhiyuan Yao, Tomas Eklund, Barbro Back, Using SOM-Ward Clustering and Predictive Analytics for Conducting Customer Segmentation. In: 2010 IEEE International Conference on Data Mining Workshops , 639–646, IEEE, 2010.
• Zhiyuan Yao, Annika Holmbom, Tomas Eklund, Barbro Back, Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis. In: Petra Perner (Ed.), Advances in data mining, applications and theoretical aspects, Lecture Notes in Computer Science 6171, 292–307, Springer Berlin Heidelberg, 2010.
• Zhiyuan Yao, Wei Qi, Xiao-ping Pang, Lan Tao, Comparing Supervised and Unsupervised Artificial Neural Network for Conducting Eco-Environment Vulnerability Assessment. In: Proceeding of Annual International Conference onComputer Science Education: Innovation and Technology (CSEIT 2011), 2010.

Ph.D. thesis (1):

• Zhiyuan Yao, Visual Customer Segmentation and Behavior Analysis – A SOM-Based Approach. TUCS Dissertations 163. 2013.

Technical reports (6):

• Zhiyuan Yao, Peter Sarlin, Tomas Eklund, Barbro Back, Visualizing Dynamics in Customer Behavior with the Self-Organizing Time Map. TUCS Technical Reports 1085, TUCS, 2013.
• Hongyan Liu, Zhiyuan Yao, Thomas Eklund, Barbro Back, From Smart Meter Data to Pricing Intelligence: Real Time BI for Business Innovation. TUCS Technical Reports 1035, Turku Centre for Computer Science, 2012.
• Peter Sarlin, Zhiyuan Yao, Clustering of the Self-Organizing Time Map. TUCS Technical Reports 1062, TUCS, 2012.
• Hongyan Liu, Zhiyuan Yao, Tomas Eklund, Barbro Back, Electricity Consumption Time Series Profiling: A Business Intelligence Case. TUCS Technical Reports 1031, TUCS, 2011.
• Peter Sarlin, Zhiyuan Yao, Tomas Eklund, Probabilistic Modeling of State Transitions on the Self-Organizing Map: Some Temporal Financial Applications. TUCS Technical Reports 1023, Turku Centre for Computer Science, 2011.
• Zhiyuan Yao, Peter Sarlin, Tomas Eklund, Barbro Back, Combining Visual Customer Segmentation and Response Modeling. TUCS Technical Report 1029, TUCS, 2011.