Information Granularity Big Data and Computational Intelligence is popular PDF and ePub book, written by Witold Pedrycz in 2014-07-14, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Information Granularity Big Data and Computational Intelligence can be Read Online from any device for your convenience.

Information Granularity Big Data and Computational Intelligence Book PDF Summary

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 researchers and practitioners including those active in various disciplines in which big data, their analysis and optimization are of genuine relevance. One focal point is the systematic exposure of the concepts, design methodology, and detailed algorithms. In general, the volume adheres to the top-down strategy starting with the concepts and motivation and then proceeding with the detailed design that materializes in specific algorithms and representative applications. The material is self-contained and provides the reader with all necessary prerequisites and augments some parts with a step-by-step explanation of more advanced concepts supported by a significant amount of illustrative numeric material and some application scenarios to motivate the reader and make some abstract concepts more tangible.

Detail Book of Information Granularity Big Data and Computational Intelligence PDF

Information Granularity  Big Data  and Computational Intelligence
  • Author : Witold Pedrycz
  • Release : 14 July 2014
  • Publisher : Springer
  • ISBN : 9783319082547
  • Genre : Technology & Engineering
  • Total Page : 444 pages
  • Language : English
  • PDF File Size : 9,5 Mb

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Granular Computing and Decision Making

Granular Computing and Decision Making Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
File Size : 27,8 Mb
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This volume is devoted to interactive and iterative processes of decision-making– I2 Fuzzy Decisio...