Semi-automated intelligent systems

Srihari Akash Chinam, N. V. Subba Reddy, K. V. Prema

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

Abstract

An intelligent system uses machine learning algorithms to provide outputs to every input provided. The introduction of emotions in intelligent systems is required to create systems that are more similar to human beings and thus more reliable. In this paper, the idea of introducing the emotion 'uncertainty' in Intelligent Systems is proposed. A Semi-Automated Intelligent System is introduced in this paper, which combines a Naïve Bayesian Classifier, a Random Forest Classifier and a Multi Layer Perceptron using a Multi Model Strategy to introduce uncertainty. When used individually the classifiers had errors in the range of 6-7% but when combined as the Semi-Automated Intelligent System, the false predictions were kept under 0.2%. The paper also discusses several preprocessing techniques that were applied on the text documents to ensure effective analysis of data.

Original languageEnglish
Title of host publication2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages110-115
Number of pages6
Volume2017-January
ISBN (Electronic)9781509063673
DOIs
Publication statusPublished - 30-11-2017
Event2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India
Duration: 13-09-201716-09-2017

Conference

Conference2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Country/TerritoryIndia
CityManipal, Mangalore
Period13-09-1716-09-17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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