Problems commonly observed in Big Data and Predictive Analytics projects that try to provide data-driven innovations motivate the need for a general paradigm shift from passive to active data collection. A possible active data collection framework based on Big Data technology is outlined and possible implications for research are identified.
CITATION STYLE
Kläs, M., & Elberzhager, F. (2017). Managing development using active data collection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10611 LNCS, pp. 543–547). Springer Verlag. https://doi.org/10.1007/978-3-319-69926-4_44
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