Data Mining is the process of making data accessible for various users from data warehouse. while collecting data in a data warehouse it is very important to make that data usable for all the peoples who need that data.the data which is stored in data warehouse is all about the statistical analysis and all experiences abut an organization so this type of data is very important for new business mans.
Process Of Data Mining
The above diagram shows all the stages including in data mining process.This stages are illustrated below:-
Stage 1- Selection
This stage is includes all selection process regarding data that is to be selected for further processing as per requirement from the data warehouse.It does not contain any personal information about any organization but it should contain all business regarding information.
Stage 2-Preprocessing
This sage is second stage of data mining process it includes all sorting of data in particular parts as per requirement and transfer data to next stage.
Stage 3-Transformation
This is third stage of data mining process it transforms data for further processing of data mining.
Stage 4-Data Mining
This includes process of sorting of all data in various patterns as it is needed to access by a user. It also arrange data under various topics or taglines as it is convenient to accessed by users.
Stage 5-Interpreation And Evaluation
This stage take care of all the collected data to be present in the form of knowledge in front of users. Knowledge is shared by this last stage of data mining process.
Techniques of data mining
There are various techniques of data mining that are listed below.This techniques are mostly used in data mining process :-
1. Decision Tree
2. Association
3. Classification
4. Clustering
5. Prediction
6. Sequential Pattern
Process Of Data Mining
Stage 1- Selection
This stage is includes all selection process regarding data that is to be selected for further processing as per requirement from the data warehouse.It does not contain any personal information about any organization but it should contain all business regarding information.
Stage 2-Preprocessing
This sage is second stage of data mining process it includes all sorting of data in particular parts as per requirement and transfer data to next stage.
Stage 3-Transformation
This is third stage of data mining process it transforms data for further processing of data mining.
Stage 4-Data Mining
This includes process of sorting of all data in various patterns as it is needed to access by a user. It also arrange data under various topics or taglines as it is convenient to accessed by users.
Stage 5-Interpreation And Evaluation
This stage take care of all the collected data to be present in the form of knowledge in front of users. Knowledge is shared by this last stage of data mining process.
Techniques of data mining
There are various techniques of data mining that are listed below.This techniques are mostly used in data mining process :-
1. Decision Tree
2. Association
3. Classification
4. Clustering
5. Prediction
6. Sequential Pattern
