《数据仓库与数据挖掘》PPT课件 袁汉宁 北京理工大学

 
课件内容： 
Introduction 
1 What Is Data Mining and Why Data Mining 
2 Data Mining Process 
3 Data to be Mined 
4 Data Mining Tasks 
5 Evaluation of Knowledge 
Data 
1 Data Objects and Attribute Types 
2 Basic Statistical Descriptions of Data 
3 Measuring Data Similarity and Dissimilarity 
Data Preprocessing 
1 Overview 
2 Data Cleaning 
3 Data Integration 
4 Data Transformation 
5 Data Reduction 
Association Rule Mining 
1 Basic Concept 
2 Frequent Itemset Generation 
3 Rule Generation 
4 Factors Affecting Complexity of Apriori 
5 Compact Representation of Frequent Itemsets 
6 Pattern Evaluation 
Classification 
1 Classification: Basic Concepts 
2 Decision Tree Induction 
3 Bayes Classification Methods 
4 Techniques to Improve Classification Accuracy: Ensemble Methods 
5 Classification of Class-Imbalanced Data Sets 
6 Model Evaluation and Selection 
Cluster Analysis 
1 An Introduction 
2 Partitioning Methods 
3 Hierarchical Methods 
4 Density- and Grid-Based Methods 
5 Evaluation of Clustering 
Outlier Analysis 
1 Outlier and Outlier Analysis 
2 Outlier Detection Methods 
3 Statistical Approaches 
4 Proximity-Based Approaches 
5 Clustering-Based and Classification–Based Approaches 
Data visualization 
1 Introduction 
2 Function of Data Visualization 
3 Data Visualization Methods 
4 Tools of Data Visualization 
Data warehouse 
1 Introduction 
2 Data warehouse and Related Technology development 
3 The Data Model of Data warehouse 
4 Data ETL 
5 Data reorganization 
6 Conclusion 
Perspective 
1 Data Resource 
2 Data utiliation 
3 Data Ecology