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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 (18):

• 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, Tomas Eklund, Financial Performance Analysis of European Banks using a Fuzzified Self-Organizing Map. International Journal of Knowledge Based and Intelligent Engineering Systems 17(3), 223–234, 2013.
• Tomas Eklund, Petri Paajanen, Jussi Kantola, Hannu Vanharanta, Knowledge Creation and Learning in Organizations – Measuring Proactive Vision Using the Co-Evolute Methodology. International Journal of Strategic Change Management 4(2), 190–201, 2012.
• 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.
• Annika H. Holmbom, Tomas Eklund, Barbro Back, Customer Portfolio Analysis Using the SOM. International Journal of Business Information Systems 8(4), 396–412, 2011.
• Annukka Jokipii, Aapo Länsiluoto, Tomas Eklund, A Clustering and Visualization Approach to the Analysis of Internal Control Structures. International Journal of Accounting, Auditing and Performance Evaluation 7(3), 151–175, 2011.
• Yoon Chang, Tomas Eklund, Jussi Kantola, Hannu Vanharanta, International Creative Tension Study of University Students in South Korea and Finland. Human Factors and Ergonomics in Manufacturing and Service Industries 19(6), 528–543, 2009.
• Adrian Costea, Tomas Eklund, Jonas Karlsson, V. Voineagu, Financial Performance Analysis of Scandinavian Telecommunications Companies using Statistical and Neural Networks Techniques. Economic Computation and Economic Cybernetics Studies and Research 4, 87–104, 2009.
• Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, Evaluating a SOM-Based Financial Benchmarking Tool. Journal of Emerging Technologies in Accounting 5(1), 109–127, 2008.
• Aapo Länsiluoto, Tomas Eklund, On the Suitability of the Self‐Organizing Map for Analysis of the Macro and Firm Level Competitive Environment: An Empirical Evaluation. Benchmarking: An International Journal 15(4), 402–419, 2008.
• Aapo Länsiluoto, Tomas Eklund, Comparison of the Suitability of the Self-Organizing Map for Analyzing the Macro and Firm Environment -- An Empirical Field Survey. Benchmarking 15(4), 402–419, 2008.
• Mikael Collan, Tomas Eklund, Barbro Back, Using the Self-Organizing Map to Visualize and Explore Socio-Economic Development. EBS Review 22(1), 6-15, 2007.
• Tomas Eklund, Financial Benchmarking Using the Self-Organizing Map -- A Tool for Visual Benchmarking. Ekonomiska Samfundets Tidskrift 58(3), 137–147, 2006.
• Camilla Magnusson, Antti Arppe, Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, The Language of Quarterly Reports as an Indicator of Change in the Company'S Financial Status. Information and Management 42(4), 561–574, 2005.
• Antonina Kloptchenko, Tomas Eklund, Barbro Back, Jonas Karlsson, Hannu Vanharanta, Ari Visa, Combining Data and Text Mining Techniques for Analyzing Financial Reports. Intelligent Systems in Accounting, Finance and Management 12(1), 29–41, 2004.
• Aapo Länsiluoto, Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, Industry Specific Cycles and Companies’ Financial Performance – Comparison with Self-Organizing Maps. Benchmarking 11(4), 267–286, 2004.
• Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, Using the Self-Organizing Map as a Visualization Tool in Financial Benchmarking. Information Visualization 3(2), 171–181, 2003.
• Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, Benchmarking Global Pulp and Paper Companies Using Self-Organizing Maps. Paperi Ja PUU-Paper and Timber 83(4), 304–316, 2001.

Articles in proceedings (29):

• Annika H. Holmbom, Tomas Eklund, Barbro Back, A Weak‐Form Expert Evaluation of Customer Profiling Models. In: Jan Devos, Steven De Haes (Eds.), ECIME 2014 8th European Conference on IS Management and Evaluation ECIME 2014 Ghent, Belguim, 1–8, Academic Conferences and Publishing International Limited, Reading, UK, 2014.
• Annika Holmbom, Samuel Rönnqvist, Peter Sarlin, Tomas Eklund, Barbro Back, Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map Over Greenness. In: Wei Ding, Takashi Washio (Eds.), IEEE 13th International Conference on Data Mining Workshops, IEEE International Conference on Data Mining, 1–7, IEEE, 2013.
• 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.
• Tomas Eklund, Jarmo Toivonen, Hannu Vanharanta, Barbro Back, Customer Feedback Analysis Using Collocations. In: Vallabh Sambamurthy, Mohan Tanniru (Eds.), Proceedings of The 2011 Americas Conference in Information Systems (AMCIS 2011), Paper 158, AIS, 2011.
• Hongyan Liu, Tomas Eklund, Barbro Back, Smart Metering and Customer Consumption Behaviour Profiling – Exploring Potential Business Opportunities for DSOS and Electricity Retailers. In: CIRED proceedings 21st International Conference on Electricity Distribution, Frankfurt, 6-9 June 2011, Paper 0887, No. 0887, CIRED, 2011.
• Hongyan Liu, Tomas Eklund, Barbro Back, Hannu Vanharanta, Visual Data Mining: Using Self-Organizing Maps for Electricity Distribution Regulation . In: Ezendu Ariwa, Eyas El-Qawasmeh (Eds.), Digital Enterprise and Information Systems, Communications in Computer and Information Science 194, 631–646, Sprigner-Verlag Berlin/Heidelberg, 2011.
• Peter Sarlin, Tomas Eklund, Financial Performance Analysis of European Banks Using a Fuzzified Self-Organizing Map. In: Andreas König, Andreas Dengel, Knut Hinkelmann, Koichi Kise, Robert Howlett, Lakhmi Jain (Eds.), Proceedings of the 15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES'11), 186–195, Springer, 2011.
• Peter Sarlin, Tomas Eklund, Fuzzy Clustering of the Self-Organizing Map: Some Applications on Financial Time Series. In: Jorma Laaksonen, Timo Honkela (Eds.), Proceedings of the 8th International Workshop on Self-Organizing Maps (wSOM'11), 40–50, Springer, 2011.
• 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.
• Annika H. Holmbom, Tomas Eklund, Barbro Back, Produktsegmentering med hjälp av den självorganiserande kartan. In: Barbro Back, Ville Leppänen (Eds.), Tietojenkäsittelytieteen päivät 2009, Turku Centre for Computer Science, 2009.
• Annukka Jokipii, Aapo Länsiluoto, Tomas Eklund, A Clustering and Visualization Approach to the Analysis of Internal Control Structures. In: proceedings of the 32nd Annual Congress of the European Accounting Association (EAA 2009), 2009.
• Tomas Eklund, Franck Tétard, Patrik Ståhl, Piia Hirkman, Barbro Back, Usability Evaluation of an XP Product. In: Proceedings of the 19th Australasian Conference on Information Systems (ACIS) ), December 3-5, 2008, Christchurch, New Zealand, 280–289, AIS, 2008.
• Annika Holmbom, Tomas Eklund, Barbro Back, Customer Portfolio Analysis using the SOM. In: 19th Australasian Conference on Information Systems, ACIS 2008, 1–11, ACIS, 2008.
• Tomas Eklund, Mikael Collan, Päivi Jalava, Teuvo Kuopio, Yrjö Collan, On Visual Exploration of Breast Cancer Data Using the Self-Organizing Map. In: Marie Cotreel (Ed.), Proceedings of the 5th Workshop on Self-Organizing Maps (WSOM’05), 139–146, WSOM, 2005.
• Mikael Collan, Tomas Eklund, Transition of the Transition Economies - Using SOM to Map Socio-economic Development. In: Proceedings of the First International Manas University Conference in Economics, Bishkek, Kyrgyzstan, 127-135, 2004.
• Adrian Costea, Tomas Eklund, Combining Clustering and Classification Techniques for Financial Performace Analysis. In: Proceedings of The 8th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI2004), Orlando, Florida, July 18-21, 2004., 2004.
• Adrian Costea, Tomas Eklund, A Two Level Approach to Making Class Predictions. In: Ralph H. jr Sprague (Ed.), Proceedings of the 36th Hawaii International Conference on Systems Sciences (HICSS-36), 1–10, IEEE, 2003.
• Antonina Kloptchenko, Tomas Eklund, Adrian Costea, Barbro Back, A Conceptual Model for a Multiagent Knowledge Building System. In: Olivier Camp, Mario Piattini (Eds.), Proceedings of the 5th International Conference on Enterprise Information Systems (ICEIS 2003), 2, 223–228, ICEIS Org, 2003.
• Adrian Costea, Tomas Eklund, Jonas Karlsson, Making Economic-Financial Predictions using SOM and two Different Classification Techniques: Multinomial Logistic Regression and Decision Tree Induction. In: Proceedings of Central & Eastern European Workshop on Efficiency and Productivity Analysis, Bucharest, Romania, June 28-29., 2002.
• Adrian Costea, Tomas Eklund, Jonas Karlsson, A Framework for Predictive Data Mining in the Telecommunications Sector. In: Pedro Isiais (Ed.), Proceedings of the IADIS International Conference WWW/Internet 2002, 38–46, IADIS Press, 2002.
• Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, Assessing the Feasibility of Using Self-Organizing Maps for Data Mining Financial Information. In: Stanislaw Wrycza (Ed.), Proceedings of the 10th European Conference on Information Systems (ECIS) 2002, 1, 528–537, AIS, 2002.
• Antonina Kloptchenko, Tomas Eklund, Barbro Back, Jonas Karlsson, Hannu Vanharanta, Ari Visa, Combining Data and Text Mining Techniques for Analyzing Financial Reports. In: Proceedings of the 2002 Eighth Americas Conference on Information Systems (AMCIS2002), 20–28, AIS, 2002.
• Jonas Karlsson, Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, Transforming Passive Information from the Internet into Refined Information Using Self-Organising Maps. In: S. Bjornestad, R.E. Moe, A.I. Morch, A. L. Opdahl (Eds.), Proceedings of the 24th Information Systems Research Seminar in Scandinavia (IRIS24), 1, 541–554, IRIS, 2001.

Chapters in edited books (5):

• Hongyan Liu, Tomas Eklund, Barbro Back, Smart Metering and Customer Consumption Behavior Profiling: Exploring Potential Business Opportunities for DSOs and Electricity Retailers. In: Jussi Kantola, Waldemar Karwowski (Eds.), Knowledge Service Engineering Handbook, Page 179–189, Taylor & Francis, 2012.
• Shuhua Liu, Tomas Eklund, Mikael Collan, Peter Sarlin, A Visualization and Clustering Approach to Analyzing the Early Warning Signals of Currency Crises. In: Jue Wang, Shouyang Wang (Eds.), Business Intelligence in Economic Forecasting: Technologies and Techniques, 65–81, IGI Global, 2010.
• Ruth Alas, Tomas Eklund, Mikael Collan, Ants Kraus, International Patterns in Manufacturing Strategies. In: C. Ordonez de Pablos, M Lytras (Eds.), The China Information Technology Handbook, Springer, 2009.