Predicate-based cloud computing

Hadi Hashem, Daniel Ranc

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

Abstract

Consumer interaction on Internet is establishing a new digital channel between the brands and their audiences. Exabytes of data are created everyday as information based on data models that keep growing in volume and variety. Predictive consumer scoring models have achieved significant lifts in conversion rates. Using the statistical techniques and other consumer web pioneers, personalized Predicate Models can be built to identify the potential of consumers. The dynamic model to discuss in this paper offers help in the challenge of managing data processing. We will mention the basics of this study, on how to capture and collect data, build connections and identify data types based on sample analysis. Next, we explain in details how to use Expert Systems to improve Cloud Computing. Finally, we expose some use-cases.

Original languageEnglish
Title of host publicationProceedings - 2014 8th International Conference on Next Generation Mobile Applications, Services and Technologies, NGMAST 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages131-136
Number of pages6
ISBN (Electronic)9781479950737
DOIs
Publication statusPublished - 11 Dec 2014
Externally publishedYes
Event8th International Conference on Next Generation Mobile Applications, Services and Technologies, NGMAST 2014 - Oxford, United Kingdom
Duration: 10 Sept 201412 Sept 2014

Publication series

NameProceedings - 2014 8th International Conference on Next Generation Mobile Applications, Services and Technologies, NGMAST 2014

Conference

Conference8th International Conference on Next Generation Mobile Applications, Services and Technologies, NGMAST 2014
Country/TerritoryUnited Kingdom
CityOxford
Period10/09/1412/09/14

Keywords

  • Cloud Computing
  • Inference Engine
  • Predicate-based Reasoning
  • Statistical Data Modeling

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