Data mining is defined as finding hidden information in a database. Alternatively, it has been called exploratory data analysis, data driven discovery, and deductive learning. "RapidMiner" is use for some Data analytics. Some Basic Functionality of this software is as follows - Clustering KMeans Clustering ReStartsKMeans WekaEMClustering Cluster Classification KMeanWithEvalution KernalKMeans

1. Data Mining Software
Presentation

2. What is Data Mining
Data mining is defined as finding hidden
information in a database. Alternatively, it has
been called exploratory data analysis, data
driven discovery, and deductive learning.

3. Basic Data Mining Task
Data Mining
Predictive Descriptive
Association
Rules
Clustering
Sequence
Discovery
Summarization
Prediction
RegressionClassification
Time Series
Analysis

4. RapidMiner

5. Basic Functionality
 Clustering
KMeans Clustering
ReStartsKMeans
WekaEMClustering
Cluster Classification
KMeanWithEvalution
KernalKMeans
DBScan
TopdownClustering
SVClustering
KMeansWhiteplot

6. Rapid Miner GUI

7. Rapid Miner GUI Contd..

8. Rapid Miner GUI Contd..

9. Rapid Miner GUI Contd..

10. Rapid Miner GUI Contd..
Fig: Output (Decision Tree)
Fig: Output (Plot View)

11. Rapid Miner GUI Contd..

12. Thank You