Predicting the future using web knowledge: State of the art survey

Amir Mosavi, Yatish Bathla, A. Várkonyi-Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Accurate prediction models can potentially transform businesses, organizations, governments, and industries. Data-driven prediction methods and applications have recently become very popular. One of the novel method of building prediction models is to use data-driven methods and knowledge discovery on the web contents. This includes the news and media as well as social networks contents. This method uses advanced technologies of big data, machine learning, deep learning and intelligent optimization for finding patterns in big data to build prediction models. This article presents a state of the art survey on the latest technological advancements, novel methods, and applications in developing prediction models.

Original languageEnglish
Title of host publicationRecent Advances in Technology Research and Education - Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017
PublisherSpringer Verlag
Pages341-349
Number of pages9
ISBN (Print)9783319674582
DOIs
Publication statusPublished - Jan 1 2018
Event16th International Conference on Global Research and Education Inter-Academia, 2017 - Iasi, Romania
Duration: Sep 25 2017Sep 28 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume660
ISSN (Print)2194-5357

Other

Other16th International Conference on Global Research and Education Inter-Academia, 2017
CountryRomania
CityIasi
Period9/25/179/28/17

Keywords

  • Predictive analytics
  • Predictive decision models
  • Web dynamics

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Mosavi, A., Bathla, Y., & Várkonyi-Kóczy, A. (2018). Predicting the future using web knowledge: State of the art survey. In Recent Advances in Technology Research and Education - Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017 (pp. 341-349). (Advances in Intelligent Systems and Computing; Vol. 660). Springer Verlag. https://doi.org/10.1007/978-3-319-67459-9_42