David Lo Siau-Cheng Khoo Chao Liu DASFAA 2008 Efficient Mining of Recurrent Rules from a Sequence...

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Transcript of David Lo Siau-Cheng Khoo Chao Liu DASFAA 2008 Efficient Mining of Recurrent Rules from a Sequence...

  • Slide 1
  • David Lo Siau-Cheng Khoo Chao Liu DASFAA 2008 Efficient Mining of Recurrent Rules from a Sequence Database 1
  • Slide 2
  • Outline 2 Introduction Preliminaries Generation of Recurrent Rules Algorithm Performance Evaluation Conclusion
  • Slide 3
  • Introduction 3 Mining for knowledge from data has been shown useful for many purposes ranging from finance, advertising, bio- informatics and recently software engineering. Whenever a series of precedent events occurs, eventually another series of consequent events occurs
  • Slide 4
  • Introduction 4 1. Resource Locking Protocol: Whenever a lock is acquired, eventually it is released. 2. Internet Banking: Whenever a connection to a bank server is made and an authentication is completed and money transfer command is issued, eventually money is transferred and a receipt is displayed. 3. Network Protocol: Whenever an HDLC connection is made and an acknowledgement is received, eventually a disconnection message is sent and an acknowledgement is received.
  • Slide 5
  • Preliminaries 5 Linear-time Temporal Logic (LTL) G specifies that globally at every point in time a certain property holds. F specifies that a property holds either at that point in time or finally (eventually) it holds. X specifies that a property holds at the next event.
  • Slide 6
  • Preliminaries 6
  • Slide 7
  • 7 Checking/Verifying LTL Expressions. (main, lock) (unlock, end) (main, lock, use) (unlock, end)
  • Slide 8
  • Generation of Recurrent Rules 8 Concepts and Definitions
  • Slide 9
  • Generation of Recurrent Rules 9 Concepts and Definitions
  • Slide 10
  • Generation of Recurrent Rules 10 Concepts and Definitions
  • Slide 11
  • Generation of Recurrent Rules 11 Concepts and Definitions
  • Slide 12
  • Generation of Recurrent Rules 12 Concepts and Definitions
  • Slide 13
  • Generation of Recurrent Rules 13 Concepts and Definitions s-support:2 i-support:2 confidence:1
  • Slide 14
  • Generation of Recurrent Rules 14 Concepts and Definitions
  • Slide 15
  • Generation of Recurrent Rules 15 Concepts and Definitions s-support:2 i-support:2 confidence:1
  • Slide 16
  • Generation of Recurrent Rules 16 Apriori Properties and Non-redundancy
  • Slide 17
  • Generation of Recurrent Rules 17 Apriori Properties and Non-redundancy
  • Slide 18
  • Generation of Recurrent Rules 18 Apriori Properties and Non-redundancy
  • Slide 19
  • Algorithm 19
  • Slide 20
  • Performance Evaluation 20
  • Slide 21
  • Conclusion 21