Data modeling and case-based reasoning for social monitoring

Hadi Hashem, Daniel Ranc

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

Abstract

Social Media is experiencing an ongoing significant growth worldwide. It has changed the way society and economy work. Social Media channels continuously gain importance for companies and brands in interacting with their target groups. The enormous increase of Social Media use develops its own dynamics. A short post can turn into a critical damage to organizations and assets. Thus, powerful monitoring tools and optimized processing data models are absolutely necessary. In this paper, we offer a new dynamic model of a 3-step data processing sequence: data capture, data modeling and data computing. We are using case-based reasoning for known situations and self-learning capacity for new situations. This toolbox shows interesting results in terms of data processing costs and green computing.

Original languageEnglish
Title of host publicationProceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016
EditorsJoyce El Haddad, Muhammad Younas, Irfan Awan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages194-199
Number of pages6
ISBN (Electronic)9781509039463
DOIs
Publication statusPublished - 14 Oct 2016
Externally publishedYes
Event4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016 - Vienna, Austria
Duration: 22 Aug 201624 Aug 2016

Publication series

NameProceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016

Conference

Conference4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016
Country/TerritoryAustria
CityVienna
Period22/08/1624/08/16

Keywords

  • Big Data
  • Case-based Reasoning
  • Data Modeling
  • Data Processing
  • Social Monitoring

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