Abstract
This chapter reports on practical lessons learned while developing the Dicode’s data mining services and using them in data-intensive and cognitively-complex settings. Various sources were taken into consideration to establish these lessons, including user feedbacks obtained from evaluation studies, discussion in teams, as well as observation of services’ usage. The lessons are presented in a way that could aid people who engage in various phases of developing similar kind of systems.
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Friesen, N., Kindermann, J., Maassen, D., Rüping, S. (2014). Data Mining in Data-Intensive and Cognitively-Complex Settings: Lessons Learned from the Dicode Project. In: Karacapilidis, N. (eds) Mastering Data-Intensive Collaboration and Decision Making. Studies in Big Data, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-02612-1_10
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DOI: https://doi.org/10.1007/978-3-319-02612-1_10
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