Preface

1 Introduction -- 1.1 Correlation is the Mother of Causality -- 1.2 Explanatory Modeling versus Predictive Modeling -- 1.3 Logs are the Source of Knowledge -- 1.4 From Logs to Chronicles to Models -- 1.5 The Importance of an Event Language for Explanatory Modeling

2 Think Events: From Signals to Events -- 2.1 Events in the Human World -- 2.2 Events in the Cyber World -- 2.3 Why an Event Model? -- 2.4 An Overview of Event Models

3 Event Mining and Pattern Discovery -- 3.1 An Example of Asthma Risk Factor Patterns -- 3.2 Temporal Knowledge Representation -- 3.3 Temporal Data Prediction -- 3.4 Pattern Discovery -- 3.5 Different Types of Patterns -- 3.6 Revisiting Asthma Risk Factor Patterns

4 Design Principles of Event Mining Systems -- 4.1 Data Fusion and Transformation -- 4.2 Extensibility and Reusability -- 4.3 Interactive Process -- 4.4 Human-centered Analysis -- 4.5 Event Mining Architecture

5 Event Mining Applications -- 5.1 Healthcare and Medicine -- 5.2 Biological Data Analysis -- 5.3 Predictive Maintenance -- 5.4 Business Intelligence -- 5.5 Computer Networks

6 EventMiner Framework -- 6.1 Data Models and Pattern Operators -- 6.2 Architecture -- 6.3 Core Processing and Language Syntax -- 6.4 Interactive Event Mining Process -- 6.5 Case Studies with EventMiner

7 Conclusion and Future Direction

Bibliography

Authors' Biography

Index

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