TY  - BOOK
AU  - Jalali, Laleh
TI  - Event Mining for Explanatory Modeling / 
T2  - ACM books, 
SN  - 3462257
PY  - 2021///]
CY  - [New York, NY, USA]
PB  - Association for Computing Machinery
KW  - Event Mining (Computer Science)
KW  - Electronic books
N1  - 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; Abstract freely available; full-text restricted to subscribers or individual document purchasers; Also available in print
UR  - https://doi.org/10.1145/3462257
ER  -