致谢
Chapter 1 Introduction
1.1 Background and Significance
1.2 An Overview of Related Work
1.2.1 Pattern Mining as a Subfield of Data Mining
1.2.2 Frequent Sequential Pattern Mining
1.2.3 High Utility Sequential Pattern Mining
1.2.4 Projection-Based Pattern-Growth Approaches
1.2.5 Process Mining
1.2.6 Emerging Pattern Mining
1.2.7 Integrating the Concept of Cost in Pattern Mining
1.3 Research Content and Organization
Chapter 2 Mining Cost-Effective Patterns in Sequential Event Logs
2.1 Preliminaries and Problem Statement
2.2 Pruning Measures and Buffer Structure
2.2.1 A Lower Bound on the Average Cost
2.2.2 A Tighter Lower-Bound on the Average Cost
2.2.3 Computing Database Projections using a Projected Database Buffer
2.3 The CEPM Algorithm
2.4 Experimental Evaluation
2.5 Summary
Chapter 3 Mining Cost-Effective Patterns in a Binary Sequential Event Logs
3.1 Preliminaries and Problem Statement
3.2 The Correlated CEPB Algorithm
3.3 Experimental Evaluation
3.3.1 Performance Evaluation
3.3.2 Case Study in E-learning
3.4 Summary
Chapter 4 Mining Cost-effective Patterns in a Numeric Sequential Event Logs
4.1 Preliminaries and Problem Statement
4.2 The CEPN Algorithm
4.3 Experimental Evaluation
4.3.1 Performance Evaluation
4.3.2 Case Study in E-learning
4.4 Comparison with Related Work
4.5 Summary
CONCLUSIONS
参考文献
PUBLICATIONS
声明
哈尔滨工业大学;
