  This paper presents the method of mining the data and which contains the
information about the large information about the PR (Panchayat Raj
Department)of Orissa.We have focused some of the techniques,approaches and
different methodologies of the demand forecasting. Every organizations are
operated in different places of the country. Each place of operation may
generate a huge amount of data. In an organization, worker prediction is the
difficult task of the manager. It is the complex process not only because its
nature of feature prediction but also various approaches methodologies always
makes user confused. This paper aims to deal with the problem selection
process. In this paper we have used some of the approaches from literature are
been introduced and analyzed to find its suitable organization and situation.
Based on this we have designed with automatic selection function to help users
make a prejudgment. This information about each approach will be showed to
users with examples to help understanding. This system also provides
calculation function to help users work out a predication result. Generally the
new developed system has a more comprehensive functions compared with existing
ones. It aims to improve the accuracy of demand forecasting by implementing the
forecasting algorithm. While it is still a decision support system with no
ability of make the final judgment.This type of huge amount of data are are
available in the form of different ways which has drastically changed in the
areas of science and engineering.To analyze, manage and make a decision of such
type of huge amount of data we need techniques called the data mining which
will transforming in many fields. We have implemented the algorithms in JAVA
technology. This paper provides the prediction algorithm Linear Regression,
result which will helpful in the further research.
