1 / 6

Data Mining:Classification

Data Mining:Classification. Developed by: Dr Eddie Ip Modified by: Dr Arif Ansari. Classification Outline. Goal: Provide an overview of the classification problem and introduce some of the basic algorithms. Classification Problem Overview Classification Techniques Regression Distance

lavernaw
Download Presentation

Data Mining:Classification

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data Mining:Classification Developed by: Dr Eddie Ip Modified by: Dr Arif Ansari

  2. Classification Outline Goal:Provide an overview of the classification problem and introduce some of the basic algorithms • Classification Problem Overview • Classification Techniques • Regression • Distance • Decision Trees • Rules • Neural Networks

  3. Classification Problem • Given a database D={t1,t2,…,tn} and a set of classes C={C1,…,Cm}, the Classification Problem is to define a mapping f:DgC where each ti is assigned to one class. • Actually divides D into equivalence classes. • Predictionis similar, but may be viewed as having infinite number of classes.

  4. Classification Examples • Teachers classify students’ grades as A, B, C, D, or F. • Identify mushrooms as poisonous or edible. • Predict when a river will flood. • Identify individuals with credit risks. • Speech recognition • Pattern recognition

  5. x <90 >=90 <70 <50 >=60 >=70 Classification Ex: Grading • If x >= 90 then grade =A. • If 80<=x<90 then grade =B. • If 70<=x<80 then grade =C. • If 60<=x<70 then grade =D. • If x<50 then grade =F. x A <80 >=80 x B x C D F

  6. Classification Ex: Letter Recognition View letters as constructed from 5 components: Letter A Letter B Letter C Letter D Letter E Letter F

More Related