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IJML 2012 Vol.2(6): 835-838
doi: 10.7763/IJMLC.2012.V2.248

Intelligent Web Based Task Completion Using Pattern Recognition Techniques

Chetan Bansal , Adwait Gandhe

  • BITS Pilani K.K. Birla Goa Campus, India.

Abstract

The use of electronic devices for ease of operation has increased largely in the world. Various techniques are used for intelligent extraction of information from the surroundings and developing effective interfaces for obtaining the same. This paper proposes a system that rules out this interface altogether and provides the user with intelligent task completion. Pattern recognition techniques have been used for data extraction from the surroundings and cascaded with data mining algorithms that fetch the relevant information from the web. Users commonly make to-do lists on their smart devices. However, it is common for users to forget to refer to them in places where tasks can be completed potentially. The system is so designed to send a message to the user that a particular task can be completed at a particular time. An adaptive learning based algorithm also improves the efficiency of the system with usage.

Keywords

  • Pattern recognition
  • data mining
  • adaptive learning
248-L10022

How to Cite

Copied

Chetan Bansal and Adwait Gandhe, "Intelligent Web Based Task Completion Using Pattern Recognition Techniques," International Journal of Machine Learning, vol. 2, no. 6, pp. 835-838, 2012. https://doi.org/10.7763/IJMLC.2012.V2.248

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD