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CONTEXT
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Classroom Contents
Early Detection of Malicious Patterns in Event-Streaming Data
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- 1 Intro
- 2 CONTEXT
- 3 EQL BY EXAMPLE
- 4 SEQUENCES: ORDER MATTERS
- 5 THE DREAM: SEMI-AUTOMATIC
- 6 MACHINE LEARNING ON SEQUENCE DATA
- 7 MODEL DESIGN: FEATURES
- 8 MODEL DESIGN: EMBEDDING
- 9 MODEL DESIGN: RECURRENT
- 10 MODEL DESIGN: CONVICTION
- 11 PATTERN EARLINESS?
- 12 UPDATED MODEL SUMMARY
- 13 LEARNED PATTERNS?
- 14 FALSE NEGATIVE
- 15 FALSE POSITIVE
- 16 STEP BACK: WHAT HAVE WE DONE?
