Abstract:
This paper basically deals with the
availability of client programs on mobile devices
that can invoke the remote execution of data
mining task. By implementing mobile Web
Services, remote users are allowed to execute data
mining tasks from a mobile device and receive the
results of a data analysis task on devices. In data
mining task presented in this paper, the stock data
from different companies are categorized based on
low growth, normal growth and high growth using
K-Means algorithm. In client program, mobile
users can periodically visualize the result clusters
generated from the mining server either in textual
or visual form and can periodically check a
preferred company whether the company is in low,
normal or high group and then the detail
information of the company can be seen as
communications. The objective in this paper is to
identify the stock market from the viewpoint of
investors from their personal devices with
benefited services i.e. speed increases and saves
memory. So the investors can efficiently invest
their shares in the appropriate companies based
on low growth, normal growth and high growth.
