Main Article Content
Abstract
Data mining is process where we have to collect large amount of data & extract required and useful data
from row data, for data mining process we required some data mining techniques and tools. In this paper
we discus four important point’s i.e. Introduction of Data mining, Data mining implementation process,
architecture of data mining process and some tools which are useful for processing on raw data , in data
mining implementation process steps involves such as Business Development, Data understanding, Data
Preparation, Modeling, Evaluation, Deployment etc. to working on that data we required some
techniques and tools, which are Rapid Minor, Orange and weka, these tools are used to sort various types
of data and all these are open source and available for everyone. The stages of data mining
implementation process are shown in Fig A, Figure B describes Architecture of Data mining process and
Figure C describes stages of clustering.