Cognitive concept learning via granular computing for big data

In this paper, analysis of time complexities of existing granular-computing-based cognitive concept learning method-s is provided by numerical experiments. Moreover, technical problems are addressed when the existing cognitive concept learning methods are applied to big data.

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Bibliographic Details
Published in2015 International Conference on Machine Learning and Cybernetics (ICMLC) Vol. 1; pp. 289 - 294
Main Authors Li, Jinhai, Huang, Chenchen, Xu, Weihua, Qian, Yuhua, Liu, Wenqi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2015
Subjects
Big data
Cognitive computing
Complexity
Concept learning
Granular computing
Manganese
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DOI10.1109/ICMLC.2015.7340937

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Summary:In this paper, analysis of time complexities of existing granular-computing-based cognitive concept learning method-s is provided by numerical experiments. Moreover, technical problems are addressed when the existing cognitive concept learning methods are applied to big data.
DOI:10.1109/ICMLC.2015.7340937