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IJMLC 2012 Vol.2(6):835-838 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.248

Intelligent Web Based Task Completion Using Pattern Recognition Techniques

Chetan Bansal and Adwait Gandhe

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.

Index Terms—Pattern recognition, data mining, adaptive learning.

The authors are with the BITS Pilani K.K. Birla Goa Campus, India.

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Cite:Chetan Bansal and Adwait Gandhe, "Intelligent Web Based Task Completion Using Pattern Recognition Techniques," International Journal of Machine Learning and Computing vol.2, no. 6, pp. 835-838, 2012.

General Information

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
  • E-mail: ijmlc@ejournal.net


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