Towards an optimal task-driven information granulationстатья

Дата последнего поиска статьи во внешних источниках: 5 декабря 2015 г.

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[1] Alexander R. Towards an optimal task-driven information granulation // Information Granularity, Big Data, and Computational Intelligence. Ed. by Witold Pedrycz and Shyi-Ming Chen. — Studies in Big Data Series. — Springer International Publishing, 2014. — P. 191–208. In this work we have analyzed Big Data sources and made a conclusion that sizeable part of them is people-generated data. We can present this type of data in form of qualitative attributes. The model of such attributes is a collection of fuzzy granules. We also need to granulate the data for application of a big part of analytical technologies. When we form the granules, we have a choice among different variants. Which of them is good for specific task? How can we measure this “goodness” and make a choice the best (optimal) granulation? We provide our vision of answers on these questions in the chapter. [ DOI ]

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