Abstract
This chapter presents the selected issues related to the data and knowledge hybridization, and we focus on the problem of knowledge and data consistency, selected aspects of cost-sensitive, as well as privacy preserving classification. Further, we also present an idea of data and knowledge unification which helps to unify form of the learning material.
Cite
CITATION STYLE
APA
Woźniak, M. (2014). Data and knowledge hybridization. Studies in Computational Intelligence, 519, 59–93. https://doi.org/10.1007/978-3-642-40997-4_2
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