Toward Compact Data from Big Data

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Bigdata is a dataset of which size is beyond the ability of handling a valuable raw material that can be refined and distilled into valuable specific insights. Compact data is a method that optimizes the big dataset that gives best assets without handling complex bigdata. The compact dataset contains the maximum knowledge patterns at fine grained level for effective and personalized utilization of bigdata systems without big data. The compact data method is a tailor-made design which depends on problem situations. Various compact data techniques have been demonstrated into various data-driven research area in the paper.

Original languageEnglish
Title of host publication2020 15th International Conference for Internet Technology and Secured Transactions, ICITST 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781913572211
DOIs
Publication statusPublished - 8 Dec 2020
Event15th International Conference for Internet Technology and Secured Transactions, ICITST 2020 - Virtual, London, United Kingdom
Duration: 8 Dec 202010 Dec 2020

Publication series

Name2020 15th International Conference for Internet Technology and Secured Transactions, ICITST 2020

Conference

Conference15th International Conference for Internet Technology and Secured Transactions, ICITST 2020
Country/TerritoryUnited Kingdom
CityVirtual, London
Period8/12/2010/12/20

Keywords

  • Bigdata
  • artificial intelligent
  • compact data
  • data complexity
  • data reduction
  • machine learning
  • statistical modeling

Fingerprint

Dive into the research topics of 'Toward Compact Data from Big Data'. Together they form a unique fingerprint.

Cite this