Intelligence Semantics

Applications and Innovations in Intelligent Systems XII: by Ann Macintosh, Richard Ellis, Tony Allen

By Ann Macintosh, Richard Ellis, Tony Allen

The papers during this quantity are the refereed software papers awarded at AI-2004, the Twenty-fourth SGAI foreign convention on cutting edge suggestions and functions of synthetic Intelligence, held in Cambridge in December 2004.

The papers current new and leading edge advancements within the box, divided into sections on personalisation, e-commerce and source administration, probability prediction, fault analysis and layout, clinical and social prone and photograph popularity, wisdom bases and characteristic selection.

This is the 12th quantity within the functions and options sequence. The sequence serves as a key reference at the use of AI expertise to let organisations to resolve complicated difficulties and achieve major company benefits.

The Technical flow papers are released as a spouse quantity below the name examine and improvement in clever platforms XXI.

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Extra info for Applications and Innovations in Intelligent Systems XII: Proceedings of AI-2004, the Twenty-fourth SGAI International Conference on Innhovative ... of Artificial Intelligence

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The logic programming approach however has been crafted explicitly for this problem domain and provide great potential for exploring the data, for instance matching series of crimes against previous series of crimes. More thought will be given to modelling as ontologies, and the automated generation of ontologies, structures that can more easily engage domain experts. The RPAL algorithm and offender features are not compHcated, but proved very useful in the experiments. Further thought will be made regarding the inclusion of new features.

Door 10. Exit Same as Entry ALARM/PHONE 1. Cut Phone 2. Tamper with Alarm 3. Alarm Activated BOGUS CRIME Social Services 2. Bogus Official (type unknown) 3. Council 4. DSS 5. Home Help 6. Gardener 7. Other 8. Water 9. Police 10. Distraction Bogus Crime LOCATION ENTRY OFHCIAL Table 2 Modus operandi features. Additions to simple plotting of crime locations were visual inspection of the data using Gaussian (bell-shaped) kernel-based approximation for the probability density function (see [5]), and the forensic psychology idea of 'prevalence, incidence and concentration' [6].

Building material 7. Cards, cheques 8. Cash, till, safe 9. Clothing 10. Computer 11. Cosmetics, toiletries 12. Documents 13. Domestic appliance 14. Drugs, medical 15. Fancy goods 16. Firearms 17. Furniture non antiques including carpets 18. Garden 19. Jewellery 20. Keys 21. Luggage 22. Office, stamps, stationery 23. Optical, personal 24. , animal, metals 25. Pedal cycle 26. Photographic 27. Purse, wallet 28. Sporting 29. T/v, video 30. Telecom 31. Tools, hardware, plant and equipment 32. Vehicle Table 1 Stolen property features.

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