By Alfio Vidotto, Kenneth N. Brown, J. Christopher Beck (auth.), Richard Ellis BSc, MSc, Dr Tony Allen PhD, Dr Andrew Tuson MA, MSc, PhD, MBCS (eds.)
APPLICATIONS AND techniques IN clever structures XIV
The papers during this quantity are the refereed program papers provided at AI-2006, the Twenty-sixth SGAI foreign convention on cutting edge options and purposes of man-made Intelligence, held in Cambridge in December 2006.
The papers during this quantity current new and cutting edge advancements within the box, divided into sections on info Mining and Bayesian Networks; Genetic Algorithms and Optimisation suggestions; brokers and Semantic internet; and common Language.
This is the fourteenth quantity within the functions and recommendations sequence. The sequence serves as a key reference as to how AI expertise has enabled agencies to unravel complicated difficulties and achieve major enterprise benefit.
The Technical move papers are released as a significant other quantity lower than the name study and improvement in clever structures XXIII.
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Additional resources for Applications and Innovations in Intelligent Systems XIV: Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
Accuracy ) Verysignificant oosmve ,nfluence - . SlgnirlCant posibve ,nfluence Process (Group) - Process (User) Solution Verys'glllficant negative tn(luence • •~ ( Quality ) Fig. 3. Network found by Elvira. It is also necessary to highlight that some of the relationships identified were expected, such as the relationship between the cost of a solution and the problem difficulty, the fact that the quality of the solution depends on its accuracy, or that the group collaboration level is closely related to the Communication indicator for instance.
It was speculated that there could be four archetypal CSIs: 1. High collection rates for both DNA and fingerprints 28 2. High collection rates for DNA but not for fingerprints 3. High collection rates for fingerprints, but low for DNA 4. Low collection rates for both DNA and fingerprints This lead us to speculate that as many as four clusters (or 'types') of CSls might exist within the data set. The K-Means algorithm was run on two different data sets, CSI activities where fingerprints and DNA were recovered and activities where the recovery lead to an individual person being identified.
Also, the definition of 'high' and 'low' here is relative. We are far from certain whether a 'high' collection rate would be considered high nationally or indeed if a Northamptonshire low collection rate would be considered inferior if considered in the context of a larger sample of csrs. The aim of this study was to ascertain whether data mining techniques could be used to model crime scene investigator performance . This paper suggests that such eSI performance modelling is a viable option for managers.
Applications and Innovations in Intelligent Systems XIV: Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence by Alfio Vidotto, Kenneth N. Brown, J. Christopher Beck (auth.), Richard Ellis BSc, MSc, Dr Tony Allen PhD, Dr Andrew Tuson MA, MSc, PhD, MBCS (eds.)