Author
Abstract
Data reduction is the important thing in the real time database but the
information in this data must not be changed. There are very huge data in the
real time system and all these data must not be stored because the restriction
in storage media. The general method which is widely used is comparing the
recent data with the previous data, if there is change in the value by a factor
or large from this factor, the recent value is stored otherwise the current value
is not stored. Periodically (daily, weekly or monthly), the data is deleted if
there is no need for to it. Here another suggestion is added to this method
according which pivot and critical points and specific factor specify the points
which can be deleted. This is done according to the increasing and decreasing
in the values of data, and then the middle points can be deleted. This deleted
data can be retrieved mathematically approximately (near original data). This
method has been tested on real data and it’s successful.
)
