| 書目名稱 | Information Granularity, Big Data, and Computational Intelligence | | 編輯 | Witold Pedrycz,Shyi-Ming Chen | | 視頻video | http://file.papertrans.cn/466/465056/465056.mp4 | | 概述 | Includes introductory chapters both in terms of big data, the key challenges of the area, development opportunities and a well-focused introduction to Computational Intelligence.Self-contained and eas | | 叢書名稱 | Studies in Big Data | | 圖書封面 |  | | 描述 | .The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactions for a mega-retailer, weather?monitoring, intelligence gathering, quickly outpace the capacities of traditional techniques and tools of data analysis. The 3V (volume, variability and velocity) challenges led to the emergence of new techniques and tools in data visualization, acquisition, and serialization. Soft Computing being regarded as a plethora of technologies of fuzzy sets (or Granular Computing), neurocomputing and evolutionary optimization brings forward a number of unique features that might be instrumental to the development of concepts and algorithms to deal with big data..This carefully edited volume provides the reader with an updated, in-depth material on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of big data architectures, analysis, and interpretation as well as data analytics. The book is aimed at a broad audience of r | | 出版日期 | Book 2015 | | 關鍵詞 | Big Data; Computational Intelligence; Information Granularity | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-08254-7 | | isbn_softcover | 978-3-319-38161-9 | | isbn_ebook | 978-3-319-08254-7Series ISSN 2197-6503 Series E-ISSN 2197-6511 | | issn_series | 2197-6503 | | copyright | Springer International Publishing Switzerland 2015 |
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