Transcribed
The 10 Most Important Data Mining Techniques
THE 10 MOST IMPORTANT DATA MINING TECHNIQUES Data mining is the process of searching large sets of data to look out for patterns and trends that can't be found using simple analysis techniques. DATA MINING TECHNIQUES Data mining is highly effective, so long as it draws upon one or more of these techniques: DATA CLEANING 01 AND PREPARATION SIRT SAGAR GROUP OF INSTITUTIONS The SAGE Group SIRT-S|SIRT-E| SIRT-P|SIRTS-P TRACKING PATTERNS 02 CLASSIFICATION REGRESSION 03 07 ASSOCIATION PREDICTION 04 08 OUTLIER DETECTION SEQUENTIAL PATTERNS 05 09 MACHINE LEARNING & CLUSTERING ARTIFICIAL 06 10 INTELLIGENCE www.sirtbhopal.ac.in
The 10 Most Important Data Mining Techniques
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Data mining is the process of searching large sets of data to look out for patterns and trends that can't be found using simple analysis techniques.
Data Mining Techniques
Data mining is highly effe...
ctive, so long as it draws upon one or more of these techniques:
1. Data cleaning and preparation
2. Tracking patterns
3. Classification
4. Association
5. Outlier detection
6. Clustering
7. Regression
8. Prediction
9. Sequential patterns
10. Machine learning and artificial intelligence
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