Hannu Toivonen

Professor Hannu Toivonen is a leading expert in data mining and computational creativity. He has introduced and solved several novel research problems in the area of data mining since the field was born in early 1990s; his definitions and algorithms have become standard references and textbook material in the field. He has since developed applications of data mining for gene mapping, context-aware computation, document analysis and summarization, computational creativity, and natural language generation.

Hannu Toivonen obtained his PhD in Computer Science in 1996 and has been Professor at the University of Helsinki since 2002. Hannu Toivonen is Vice Dean of the Faculty of Science at the University of Helsinki since 2018. He was Head of the Department of Computer Science during 2007-9 (170 FTE staff), director of the Helsinki Doctoral Programme in Computer Science during 2007-11 (80 PhD students) and founding director of the Data Science MSc programme during 2016-2018. He has secured external funding for over 6 MEUR, including five EU projects and numerous domestic projects. Prof. Toivonen also has six years of industrial experience from Nokia Research Centre. He holds ten patents.

Hannu Toivonen has 200 international refereed publications. According to Google Scholar, he has been cited over 20,000 times and he has an h-index over 50. He served as Programme Chair of IEEE ICDM 2014, a leading data mining conference, and of ICCC 2015, the International Conference on Computational Creativity. He is Associate Editor of the forthcoming Journal of Computational Creativity, as well as Editorial Board member of the leading journals and a regular Senior Programme Committee member of the leading conferences in his research areas.

Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case
Martins, P., Goncalo Oliveira, H., Carlos Gonçalves, J., Cruz, A., Cardoso, A., Žnidaršič, M., Lavrač, N., Linkola, S., Toivonen, H., Hervás, R., Méndez, G. & Gervás, P., 8 Feb 2019, IBM Journal of Research and Development. 63, 1, p. 9:1-9:17 17 p., 9.

Conceptual Representations for Computational Concept Creation
Xiao, P., Toivonen, H., Gross, O., Cardoso, A., Correia, J., Machado, P., Martins, P., Goncalo Oliveira, H., Sharma, R., Pinto, A. M., Diaz, A., Francisco, V., Gervás, P., Hervas, R., León, C., Forth, J., Purver, M., Wiggins, G. A., Miljkovic, D., Podpecan, V. & 8 others, Feb 2019, ACM Computing Surveys. 52, 1, 33 p., 9.

News Automation: The rewards, risks and realities of 'machine journalism' 
Linden, T. C-G. (ed.), Tuulonen, H. E. (ed.), Bäck, A., Diakopoulos, N., Granroth-Wilding, M., Haapanen, L., Leppänen, L. J., Melin, M., Moring, T. A., Munezero, M. D., Siren-Heikel, S. J., Södergård, C. & Toivonen, H., Mar 2019, Frankfurt: World Association of Newspapers and News Publishers, WAN-IFRA. 55 p.

Towards Transformational Creation of Novel Songs
Toivanen, J. M., Järvisalo, M., Alm, O., Ventura, D., Vainio, M. & Toivonen, H., 2 Jan 2019, Connection Science. 31, 1, p. 4-32 29 p.

Data Musicalization
Tulilaulu, A., Nelimarkka, M., Paalasmaa, J., Johnson, D., Ventura, D., Myllys, P. & Toivonen, H., May 2018, ACM Transactions on Multimedia Computing Communications and Applications. 14, 2, 27 p., 47.

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For more artistic projects (poems, music, installations, rap, images etc.) see Art-related work by the Discovery Group.

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