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.
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.