CAT - 3 Syllabus

Other Mining techniques: Web Mining [Introduction, Web Mining,  Web Content Mining, Web Structure, Web Usage Mining], Temporal and Spatial Data Mining [Introduction, What is Temporal Data Mining,Spatial Mining and Spatial Mining Tasks] 4Hrs

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Predictive Methods: Surveying Predictive Modeling Techniques, Current Techniques have the Power, Mathematical basics, Polynomial Regression Models, Machine Learning and Predictive Models, Decision Values and Decision Surfaces, Complex Decision Surfaces. 4 Hrs.

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Data Mining: Case Study/Tools: Data Mining in Insurance, Data Mining in Health Care and Medicine, Data Mining in Government. 

CAT - 2 Question Paper | Model Answers

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CAT - 2 Syllabus

1. Clustering Techniques: Clustering Paradigms, Partitioning Algorithm, k-Medoid Algorithm, CLARA, CLARANS, Hierarchical Clustering, DBSCAN, BIRCH, CURE, Categorical Clustering Algorithms, STIRR, ROCK, CACTUS etc. 6 Hrs.
   
   
2. Decision Trees: What is Decision trees?, Tree Construction, Splitting Criteria, Decision Tree Construction Algorithms, CART, ID3, C4.5, CHAID, Decision tree Construction with Presorting, Rainforest, Approximate methods, CLOUDS, BOAT, Pruning Technique, Integration, an Ideal Algorithm etc. 4 Hrs
   
   
   3. Data Mining Techniques and Algorithms: FP-tree Growth Algorithm, Discussion, Incremental Algorithm, Border Algorithm.