Introdution of Data Mining - 2nd
chap10_false_discoveries.pptx
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PowerPoint Slides:- Introduction
- Data
- Classification: Basic Concepts and Techniques
- Basic Concepts and Decision Trees
Model Overfitting
- Classification: Alternative Techniques
- Rule-based Classifier
- Nearest Neighbor Classifiers
- Naïve Bayes Classifier
- Artificial Neural Networks
- Support Vector Machine
- Ensemble Methods
- Class Imbalance Problem
- Association Analysis: Basic Concepts and Algorithms
- Association Analysis: Advanced Concepts
- Cluster Analysis: Basic Concepts and Algorithms
- Cluster Analysis: Additional Issues and Algorithms
- Anomaly Detection
- Avoiding False Discoveries
chap9_anomaly_detection.pptx
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chap8_advanced_cluster_analysis.pptx
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chap7_basic_cluster_analysis.pptx
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chap6_advanced_association_analysis.ppt
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chap5-association_analysis.pptx
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chap4_svm.ppt
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chap4_rule_based.pptx
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chap4_naive_bayes.ppt
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chap4_knn.pptx
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chap4_imbalanced_classes.pptx
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chap4_ensemble.ppt
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chap4_ann.pptx
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chap3_overfitting.pptx
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chap3_basic_classification.ppt
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chap2_data.pptx
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chap1_intro.ppt
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ch_data_exploration.pptx
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