1. Detecting terrorist activities Presentation on a specialist topic in Data Mining and Text Analytic

2. Summary Definitions Why use it Techniques Conclusion

3. What It is Terrorists are people who resort to physical/psychological means of pressuring people in response to their own beliefs and opinions This can be for a number of reasons such as political gain, social/global awareness Can be used to set an example. Would you class strike as a form of terrorists activity?

4. Medium Traditional methods- repeat offenders Social Media Cults and organisations Encrypted Messages

5. Techniques Keyword/Text extraction Intrusion Detection Vector-Space Model Information Extraction Automatic Text Summaries

6. Keyword Extraction “Terror” Corpus Multiple Language statistical techniques “Aboutness” of a text or genre Keyword Total/Percentage

7. Intrusion Detection Monitor/Analyse actions Decision making- Hostile Database of information  Current Systems  Data logs Algorithm  % normal action vs intrusive action

8. Idea Data mining works best when you're searching for a well- defined profile, a reasonable number of attacks per year and a low cost of false alarms. Terrorist plots are different. There is no well-defined profile and attacks are very rare. Taken together, these facts mean that data-mining systems won't uncover any terrorist plots until they are very accurate, and that even very accurate systems will be so flooded with false alarms that they will be useless.

9. Conclusion Privacy Issues Ambiguity- Text Very Rare Pattern Seeking/ Counting Things Hard to distinguish Further Development needed