MIKE 2016 is an interdisciplinary conference that brings together researchers and practitioners from the domains of learning algorithms, data mining, machine learning, knowledge exploration, large-scale data analytics, big data, soft computing, information systems, and so on.
MIKE focuses on a specialized topic every year and the special theme for this year is: Learning to explore Knowledge Discovery.
Nov 13
2016
Nov 19
2016
Registration deadline
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