The document discusses how intelligent data analysis can help improve public security. It describes a Knowledge and Expertise Centre for Intelligent Data Analysis (Kecida) that uses methods like text mining, data mining, and social network analysis to automatically analyze open source information and discover new relationships that can help recognize security risks earlier. It provides examples of how these techniques can be used to extract entities from text, visualize them as networks, and investigate activities like money laundering. The document concludes that intelligent data analysis can improve security through earlier risk recognition, but good data quality is needed so relationships aren't lost.

1.  Intelligent data analysis for improving public security November 14, 2008 Data Quality Summit ‘08, Evoluon, Eindhoven Dr.ir. Hans Henseler, Forensic Technology Solutions, PwC Advisory

2. Intelligent data analysis can help improve public security Can you see the pattern ? Data Quality Summit '08

3. Sources Marechaussee IND KLPd Law enforcement Advise and Research Methods and Technology Statistics Datamining Pattern recognition Social network analysis Data Quality Summit '08 K E C I D A Knowledge and Expertise Centre for Intelligent Data Analysis

4. Kecida is part of project Pattern Recognition that is financed by the National Coordinator for Counterterrorism (NCTb) Data Quality Summit '08

5. Example of traditional information analysis Analyst Notebook chart showing all known facts Data Quality Summit '08

6. Example: text mining and data quality Extraction of names and places Data Quality Summit '08

7. Source data: Collection of text files Mickey Mouse works for Donald Duck This message is online since 02/10/2007 Mickey Mouse turns out to work for Donald Duck since 2000. Donald was able to take his nephews to Disneyland thanks to Donald. Donald Duck was apprenhended in The Hague. This message is online since 29/09/2007 Yesterday Barak Obama and Madonna have instructed the police to arrest Donald Duck in The Hague just before his performance as a duck. Data Quality Summit '08

8. Visualising the extracted entities as a network Donald Duck Madonna Barak Obama Mickey Mouse The Hague Disney Land Data Quality Summit '08

10. Structuring unstructured information Data Quality Summit '08

11. Text mining: structuring unstructured data and linking data to other data Data Quality Summit '08

12. Discovering relations between entities (1) Data Quality Summit '08

13. Discovering relations between entities (2) Data Quality Summit '08

14. Visualisation and datacleaning Data Quality Summit '08

15. Example: Investigating money transfers Intelligent search for money laundering activities Every red dot represents a bank account: Data Quality Summit '08

16. Pairs of bank accounts are normal; Larger groups of linked accounts draw attention. Data Quality Summit '08

17. A generic aproach: CRISP-DM Cross Industry Standard Process for Data Mining Data Quality Summit '08

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