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Data Mining - Coggle Diagram
Data Mining
Module 1
Data Mining Concepts
Theory
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Problems
Measures of Central Tendency
Five Point Analysis
Box Plot
Outliers
Module 2
Frequent Pattern Mining
Apriori Algorithm
Support
Confidence
Lift
FP Growth
Frequency Table
Ordered Item Set
FP Tree
Conditional Pattern Base
Frequent Patterns
Correlation & Regression
Correlation Coefficient
Regression
Module 3
Classification and Prediction
Decision Tree
Naive Bayes
Learning Phase
Testing Phase
Evaluation Methods
Confusion Matrix
Module 4
Cluster Analysis
Partitioning
K Means Clustering
Similarity and Distance Measures
Module 5
Clustering
Hierarchical Method
Agglomerative (AGNES)
Average Linakge
Complete Linkage
Single Linkage
Dendogram
Divisive (DIANA)
Density Based Method
Grind Based Method
Module 6
Outlier Analysis
Box Plot
Z Score
Module 7
Advanced Techniques
Theory
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