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Classification: Basic Concepts

Classification: Basic Concepts. Course Objectives. At the end of the course students are able to Familiarize with basic concepts related to classification – Data Mining functionality Understand the process involved in construction of classification model

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Classification: Basic Concepts

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  1. Classification: Basic Concepts

  2. Course Objectives • At the end of the course students are able to • Familiarize with basic concepts related to classification – Data Mining functionality • Understand the process involved in construction of classification model • Familiarize with various classification methods • Methods to measure the accuracy of a classifier

  3. Classification: Basic Concepts Construction of classification model Asses and test the model Supervised and Unsupervised Learning ClassificationMethods Decision Tree Induction Bayes Classification Methods Rule-Based Classification Process in measuring the accuracy of classification model Model Evaluation and Selection Techniques to Improve Classification Accuracy: Ensemble Methods Summary Course Outline  3

  4. Assessment strategy Upon completion of the lecture students are instructed to • Complete the Feedback form on visual presentation • Students are given a quiz exam for 5 marks on the lecture discussed and to be written in a class room only. • Students have to implement one of the classification method as exercise and submit through MOODLE which carries 5 marks weightage under practical marks.

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