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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 | 2640 |
| 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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SMA 2104: Mathematics for Sciences - Lesson 4 Factorisable polynomials
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Upon completing this topic, you should be able to factorise and solve polynomials of degree higher than 2
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4928 Views
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277.4 KB
SMA 2104: Mathematics for Sciences - Lesson 5 Permutations and Combination
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Permutations and Combination
Permutations - This is defined as the number of different ways of arranging different objects in order.
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4333 Views
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273.38 KB
SMA 2104: Mathematics for Sciences - Lesson 6 Binomial expansion
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Upon completing this topic you should be able to understand the binomial theorem and it’s application in the expansion of expressions and in approximations.
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4512 Views
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282.79 KB
SMA 2104: Mathematics for Sciences - Lesson 7 Probability
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Upon completing this topic,you should be able to;- Apply the principles of probability to solve problems in real-world contexts. Understand and use the language of probability and to compute the probabilities of composite events using the basic rules of probability.
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4809 Views
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395.57 KB
SBC100: STRUCTURE OF BIOMOLECULES
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They are well descritive
30 Pages
6057 Views
0 Downloads
2.65 MB
SMA 2104: Mathematics for Sciences - Lesson 8 Statistics
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Upon completing this topic,you should be able to Collect, organize, and represent data, and be able to recognize and describe relationships. Apply the principles of statistics to solve problems in real world contexts. Demonstrate knowledge of statistical terms. Differentiate between the two branches of statistics. Identify types of data. Understand and use the basic measure of central tendency
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4068 Views
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282.84 KB
SMA 2104: Mathematics for Sciences - Lesson 9 TRIGONOMETRY
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Upon completing this topic, you should be able to Define, manipulate and apply trigonometric functions. Define the basic trigonometric ratios, sine, cosine and tangent of an angle and derive the other trigonometric ratios; cosecant, secant and cotangent using the basic trigonometric ratios. Derive identities involving the trigonometric ratios
11 Pages
5693 Views
0 Downloads
635.34 KB
SMA 2104: Quadratic Equations Practice Problems
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Quadratic Equations Practice Problems, Solving Quadratic Equations When the Product of Two Numbers is Zero
12 Pages
5244 Views
0 Downloads
602.99 KB
SMA 2104: Factorisation Practice Questions
Get a copy Factorisation Practice Questions, this is suitable for your revision
2 Pages
437 Views
0 Downloads
38.59 KB
SMA 2104: Factorisation Practice Questions Answers
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Factorisation Practice Questions Answers
2 Pages
5397 Views
0 Downloads
38.59 KB