DATA MINING TECHNIQUES
| Institution | UNIVERSITY |
| Course | FORENSICS |
| Year | 1st Year |
| Semester | Unknown |
| Posted By | Brian Mike |
| File Type | |
| Pages | 21 Pages |
| File Size | 545.18 KB |
| Views | 5083 |
| Downloads | 0 |
| Price: |
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Description
The paper presents application of data mining techniques to fraud analysis. We
present some classification and prediction data mining techniques which we
consider important to handle fraud detection. There exist a number of data
mining algorithms and we present statistics-based algorithm, decision treebased algorithm and rule-based algorithm. We present Bayesian classification model to detect fraud in automobile insurance. Naïve Bayesian visualization is selected to analyze and interpret the classifier predictions. We illustrate how ROC curves can be deployed for model assessment in order to provide a more intuitive analysis of the models
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Lesson 2 Computer Animation - Character Animation
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• Character Animation
• Posture representation
• Hierarchical structure of the body
Character animation is a specialized area of the animation process, which involves bringing animated characters to life. The role of a Character Animator
is analogous to that of a film or stage actor, and character animators are often
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Lesson 3 Computer Animation - Skeletal Animation
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Skeletal animation is a technique in computer animation in which a character
is represented in two parts: a surface representation used to draw the character
(called skin or mesh) and a hierarchical set of interconnected bones (called
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Lesson 4 Computer Animation - Joints
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