Finding statistically significant high accident counts in exploration of occupational accident data
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Tuula Räsänen is a researcher at the Finnish Institute of Occupational Health. She has over 30 years’ experience of occupational safety research. She completed her PhD in 2007 at Tampere University of Technology about the management of occupational safety and health information in Finnish production companies.
Arto Reiman is a research team leader at the University of Oulu in Finland. His research interests include ergonomics & human factors and occupational safety, and how they can be included in the design and development processes to improve well-being and productivity at work.
Kai Puolamäki is Associate Professor of computer science and atmospheric sciences in the Department of Computer Science and Institute for Atmospheric and Earth System Research (INAR) at the University of Helsinki. He completed his PhD in 2001 in theoretical physics. His primary interests lie in the areas of exploratory data analysis, machine learning, and related algorithms. He has a website at http://www.iki.fi/kaip/.
Rafael Savvides is a doctoral student at the Exploratory Data Analysis group at the University of Helsinki, Finland. His research interests include visual and interactive data exploration.
Emilia Oikarinen is university lecturer at Department of Computer Science at University of Helsinki, Finland. Her research interests broadly span artificial intelligence research, ranging from knowledge representation, reasoning, and optimization to explorative data analysis with applications in a wide variety of domains.
Eero Lantto M.Soc.Sci, is a researcher at the Finnish Institute of Occupational Health, working in the Occupational Safety unit. Before FIOH Eero gained experience at Eurofound on work and employment related research topics. During the two and a half years Eero has spent at FIOH he has participated in various research and development projects in different industries.