publication . Preprint . Article . 2015

Communication Theoretic Data Analytics

Kwang-Cheng Chen; Shao-Lun Huang; Lizhong Zheng; H. Vincent Poor;
Open Access English
  • Published: 21 Jan 2015
Abstract
Widespread use of the Internet and social networks invokes the generation of big data, which is proving to be useful in a number of applications. To deal with explosively growing amounts of data, data analytics has emerged as a critical technology related to computing, signal processing, and information networking. In this paper, a formalism is considered in which data is modeled as a generalized social network and communication theory and information theory are thereby extended to data analytics. First, the creation of an equalizer to optimize information transfer between two data variables is considered, and financial data is used to demonstrate the advantages...
Subjects
free text keywords: Computer Science - Information Theory, Data model, Business intelligence, business.industry, business, Data analysis, Information integration, Information transfer, Big data, Data mining, computer.software_genre, computer, Data modeling, Analytics, Computer science
Funded by
NSF| CIF: SMALL: The Linear Information Coupling Problem
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1216476
  • Funding stream: Directorate for Computer & Information Science & Engineering | Division of Computing and Communication Foundations
,
NSF| CIF: Small: Collaborative Research: Towards universal signal recovery algorithms
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1420575
  • Funding stream: Directorate for Computer & Information Science & Engineering | Division of Computing and Communication Foundations
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publication . Preprint . Article . 2015

Communication Theoretic Data Analytics

Kwang-Cheng Chen; Shao-Lun Huang; Lizhong Zheng; H. Vincent Poor;