图书名称: Information Granularity, Big Data, and Computational Intelligence,Jul 15, 2014 , Studies in Big Data Volume 8
作者:by Witold Pedrycz and Shyi-Ming Chen
出版社:Springer International Publishing
页数:314
出版时间:2014
语言:English
格式:pdf
内容简介:
The recent pursuits emerging in big data processing, interpretation, collection, and
organization have emerged in numerous sectors including business, industry, and
not-for-profit organizations. Data sets such as customer transactions for a mega-
retailer, weather monitoring, intelligence gathering can quickly outpace the
capacity of traditional techniques and tools of data analysis. We have been wit-
nessing an emergence of new techniques and tools including NoSQL databases,
MapReduce, Natural Language Processing, Machine Learning, visualization,
acquisition, and serialization.
It becomes imperative to fully become aware what happens when big data
grows up: how they are being applied and where they start playing a crucial role.
We also need to become fully become aware of implications and requirements
imposed on the existing techniques and various methods under development.
Soft Computing regarded as a plethora of technologies of fuzzy sets (or
Granular Computing, in general), 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. In particular, setting
up a suitable and fully legitimate level of abstraction by forming semantically
meaningful information granules is of paramount relevance. In light of their sheer
volume, big data may call for distributed processing, where results of intensive
data mining realized locally are afterwards reconciled leading to information
granules of higher type. Neurocomputing operating at information granules leads
to more tractable learning tasks. Evolutionary computing delivers an essential
framework supporting global optimization.
- Studies in Big Data Volume 8 Information Granularity, Big Data, and Computational Intelligence.pdf