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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 (19):

• Zhiyuan Yao, Peter Sarlin, Tomas Eklund, Barbro Back, Combining Visual Customer Segmentation and Response Modeling. Neural Computing and Applications 25(1), 123–134, 2014.
• Annika H. Holmbom, Tomas Eklund, Barbro Back, Customer Portfolio Analysis Using the SOM. International Journal of Business Information Systems 8(4), 396–412, 2011.
• 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.
• 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.
• Marketta Hiissa, Tapio Pahikkala, Hanna Suominen, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Sanna Salanterä, Tapio Salakoski, Towards Automated Classification of Intensive Care Nursing Narratives. International Journal of Medical Informatics 76S3, S362–S368, 2007.
• Eija Koskivaara, Barbro Back, Artificial Neural Network Assistant (ANNA) for Continuous Auditing and Monitoring of Financial Data. Journal of Emerging Technologies in Accounting 4(1), 29–45, 2007.
• Hanna Suominen, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Tapio Salakoski, Sanna Salanterä, Applying Language Technology to Nursing Documents: Pros and Cons with a Focus on Ethics. International Journal of Medical Informatics 76S2, S293–S301, 2007.
• 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.
• Barbro Back, Kaisa Sere, Hannu Vanharanta, Managing Complexity in Large Data Bases Using Self-Organizing Maps. Information and Organization 8(4), 191–210, 1998.
• Barbro Back, Mikko Irjala, Kaisa Sere, Hannu Vanharanta, Competitive Financial Benchmarking using Self-Organizing Maps. Paperi ja Puu - Paper and Timber 78(8), 42--49, 1996.
• Barbro Back, Teija Laitinen, Kaisa Sere, Neural network and bankruptcy prediction - funds flows, accrual ratios and accounting data. Advances in Accounting 14, 23–27, 1996.
• Barbro Back, Teija Laitinen, Kaisa Sere, Neural Network and Genetic Algorithm for Bankruptcy Prediction. Expert Systems with Applications 11(4), 407–413, 1996.
• Barbro Back, Ralph-Johan Back, Financial Statement Planning in the Presence of Tax Constraints. European Journal of Operational Research Vol.85, 548–563, 1995.
• Barbro Back, Eija Koskivaara, Hermoverkkosovelluksesta apuväline tilintarkastukseen. ATK-tarkastajat , 3 pages, 1995.
• Barbro Back, Validating an Expert System for Financial Statements Planning. Journal of Management Information Systems Vol.10, pp. 157–177, 1994.

Articles in proceedings (63):

• 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.
• Henri Korvela, Barbro Back, The Impact of Skills and Demographics on End-User Developers’ Use of Support. In: Len Jessup, Joe Valacich (Eds.), AMCIS 2012 Proceedings, End-user Information Systems, Innovation, and Change (SIGOSRA), 1–9, Association for Information Systems , 2012.
• 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.
• 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.
• Minna Kallio, Tapio Salminen, Barbro Back, Hannu Vanharanta, Competence Profile of Top-Level Controllers. In: 2010 AHFE International, Miami, 2010.
• Dorina Marghescu, Minna Kallio, Barbro Back, Using Financial Ratios to Select Companies for Tax Auditing: A Preliminary Study. In: Organizational, Business, and Technological Aspects of the Knowledge Society (Proceedings of WSKS2010), CCIS 112, 393-398, Springer, 2010.
• 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.
• Barbro Back, Minna Kallio, The Self-Organizing Map in Selecting Companies for Tax Auditing. In: The 32nd Annual Congress of the European Accounting Association, Tampere, Finland,2009, 2009.
• 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.
• 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.
• Marketta Hiissa, Tapio Pahikkala, Hanna Suominen, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Sanna Salanterä, Tapio Salakoski, Towards Automated Classification of Intensive Care Nursing Narratives. In: Ubiquity: Technologies for Better Health in Aging Societies. Proceedings of MIE 2006, Studies in Health Technology and Informatics 124, 789–794, IOS Press, 2006.
• Marketta Hiissa, Hanna Suominen, Barbro Back, Helena Karsten, Tapio Salakoski, Sanna Salanterä, Kohti tehohoitotyön narratiivien tehokkaampaa hyödyntämistä luonnollisen kielen käsittelyn avulla. In: Kristiina Häyrinen (Ed.), Sosiaali- ja terveydenhuollon tietotekniikan ja tiedonhallinnan tutkimuspäivät. Tutkimuspaperit 2006, Stakes, Työpapereita 18/2006, 17-23, 2006.
• Hanna Suominen, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Tapio Salakoski, Sanna Salanterä, Theoretical Considerations of Ethics in Text Mining of Nursing Documents. In: Hyeoun-Ae Park, Peter Murray, Connie Delaney (Eds.), Technology and Informatics 122. Consumer-Centered Computer-Supported Care for Healthy People. Proceedings of NI2006. The 9th International Congress on Nursing Informatics; 2006 Jun 11-14: Seoul, Korea., 359–364, IOS Press, 2006.
• Hanna Suominen, Tapio Pahikkala, Marketta Hiissa, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Sanna Salanterä, Tapio Salakoski, Relevance Ranking of Intensive Care Nursing Narratives. In: Bogdan Gabrys, Robert J. Howlett, Lakhmi C. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11 2006, Proceedings, Part I, Lecture Notes in Computer Science 4251, 720–727, Springer Berlin / Heidelberg, 2006.
• Hanna Suominen, Tuija Lehtikunnas, Marketta Hiissa, Barbro Back, Helena Karsten, Tapio Salakoski, Sanna Salanterä, Natural Language Processing for Nursing Documentation. In: José Manuel Fonseca (Ed.), Proceedings of the 2nd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED 2005), 147–154, CIMED, 2005.
• Dorina Marghescu, Mikko Rajanen, Barbro Back, Evaluating the Quality of Use of Visual Data-Mining Tools. In: Dan Remenyi (Ed.), Proceedings of 11th European Conference on IT Evaluation, 11-12 November, 2004, Amsterdam, Netherlands, 239-250, Academic Conferences Limited, 2004.
• Iulian Nastac, Päivi Jalava, Mikael Collan, Yrjö Collan, Teuvo Kuopio, Barbro Back, Breast Cancer Prediction Using a Neural Network Model. In: Proceedings of the WAC 2004 Conference, 2004.
• Antonina Kloptchenko, Barbro Back, Hannu Vanharanta, Jarmo Toivonen, Ari Visa, Prototype-Matching System for Allocating Conference Papers. In: IEEE, The Computer Soceity, 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.
• Eija Koskivaara, Barbro Back, An Artificial Neural Network Based Decision Support System for Budgeting. In: Proceedings of the 5th International conference on enterprise information systems, Angers, France, April 23-26, 2003, 2, 108-114, 2003.
• Barbro Back, Antonina Kloptchenko, Jarmo Toivonen, Hannu Vanharanta, Ari Visa, Prototype-matching methodology applications in Text Mining. In: International Conference on Information and Knowledge Engineering'02, 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.