Titlebook: Artificial Intelligence Applications and Innovations; AIAI 2012 Internatio Lazaros Iliadis,Ilias Maglogiannis,Spyros Sioutas Conference pro

總

Artificial Intelligence Applications for Risk Analysis, Risk Prediction and Decision Making in Disas) to provide facilities to capture and represent complex relationships in implementing a disaster recovery plan for IT systems and their related processes to improve the understanding of CIOs about the systems and its associated risks.

infinite

雜役

hermitage

Feature Selection Study on Separate Multi-modal Datasets: Application on Cutaneous Melanomae normal random imputation method acts as an additional variation factor, helping towards stability of potential recommended biomarkers. In addition, microarray-derived features were favorably selected as best predictors compared to image-derived features.

Cardiac-Output

Association Rules Mining from the Educational Data of ESOG Web-Based Applicationn educational software Databases. In this paper, we present the KDD process which includes the application of the Apriori algorithm for the association rules mining from the educational data of ESOG Web-based application.

Coronary

absolve

Player Modeling Using HOSVD towards Dynamic Difficulty Adjustment in Videogamesssion without significant reduction as regards to the accuracy of the classification outcome and furthermore, was able to alleviate the data sparseness problem common within data collected from game sessions.

Stress-Fracture

climax

alliance

G. Menges,N. H?velmanns,E. Baur for patient data collection. An approach to make the data communications more secure in a hospital environment is proposed. A new method for data classification and access authorization is also developed which will assist in preserving privacy and security of data.