Classes of Model

Classes of Model in Business Intelligence.
Predictive, pattern recognition, risk analysis, optimization model.

1. OMega TechEd CLASSES OF MODEL 6

2. BUSINESS INTELLIGENCE Classes Of Models Mrs. Megha Sharma M.Sc. Computer Science. B.Ed.

3. Classes Of Models Predictive Models . Optimization Models . Risk Analysis Models . Pattern recognition and learning Models .

4. Predictive Models Predictive model is used to predict about unknown future,by analysing past. Predictive model improve decision making or to make profitable decision learning from past experiences. Applications: Fraud detection, Medical diagnosis, credit scoring, predict sales and inventory.

5. Correlation Correlation  is a statistical technique that can show whether and how strongly pairs of variables are related. There are three possible results of a correlational study: a positive  correlation , a negative  correlation , and no  correlation

6. Pattern Recognition And Learning Model A Pattern is an object process or event that can be given a name. Pattern recognition is the study of how machine can observe the environments and taking action according to what they observed. It focuses on the recognition of patterns. Examples: Recognizing a face, signatures and characters.

7. Pattern Recognition System to classify three numbers 1,2,3 In all 3 numbers , we have some lines and curves. 1 2 3 Number No. Of Lines No. Of curves Pattern 1 3 (3,0) 2 1 1 (1,1) 3 2 (0,2)

8. Representation in 2D Space 3 2 3 2 1 1 1 2 3 No. of Lines No. of curves

9. Risk Analysis Model “ Risk analysis is the estimation of risk associated with the identified hazards”. Risk analysis methods used for determining the level of risk of our business. Risk analysis methods. Qualitative risk analysis Quantitative risk analysis.

10. Comparison Qualitative risk analysis Performs when numerical data are inadequate or unavailable. Compulsory. Quick and Simple, No specific tools required E.g. Brainstorming, Questionnaire, Judgement of specialist and experts. Subjective evaluation of probability and impact. Quantitative risk analysis Enable us to assign values of occurrence to the various risk identified, i.e. to calculate the level of risk of the project. Optional. Take more time. Required specialized tools Detailed study. Objective. Probabilistic estimation of time and cost. Low Medium High

11. Optimization Model It is an art, process of methodology of making system design and decision as fully perfect, functional or as effective as possible. Optimization model arises naturally in decision making processes where set of limited resources must be allocated in the most effective way to different entities. Application: Banking Finance. Logistics supply chain. Network optimization. Retail Media and communication.

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