Predictive analytics for network big data using knowledge-based reasoning for smart retrieval of data, information, knowledge, and wisdom (DIKW)

Aziyati Yusoff, Norashidah Md Din, Salman Yussof, Assad Abbas, Samee U. Khan

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The study of data science, analysis, and decision-making has evolved from translating the raw data, information sharing, and knowledge representation to the wisdom of the Web of Things. Starting from the idea of architecting a wisdom hierarchy, the base of the hierarchy is built upon a data, information, knowledge, and wisdom (DIKW) pyramid [1]. The pyramid or hierarchy as illustrated in Figure 10.1 consists of the components of DIKW. In addition, the recent trend in the needs of network big data has challenged this hierarchy to be redefined and implemented beyond the contemporary use of data analytics. If data on its own is raw, information is adding the context, knowledge is describing on how to use it and wisdom is explaining why to use it [2], then the big data is challenging the hierarchy to be in a more complex yet integrated structure.

Original languageEnglish
Title of host publicationBig Data and Computational Intelligence in Networking
PublisherCRC Press
Pages209-226
Number of pages18
ISBN (Electronic)9781498784870
ISBN (Print)9781498784863
DOIs
Publication statusPublished - 01 Jan 2017

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this