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Week
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Topics
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Study Metarials
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1
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Introduction to Data Mining
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R2 - Chapter 1
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2
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Data Mining Concepts and Data Preprocessing Techniques
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R1 - Chapter 2-3
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3
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Data Reduction and Data Discretization-I
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R1 - Chapter 3
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4
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Data Reduction and Data Discretization-II
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R1 - Chapter 3
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5
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Decision Trees and Decision Rules
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R1 - Chapter 7
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6
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Statistical Classification Methods, Naïve Bayesian Classification
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R1 - Chapter 5
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7
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Evaluation Methods on classification, Class confusion Matrix
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R1 - Chapter 4
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8
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Clustering Methods: K-Means Alg. And Hierarchical Clustering
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R1 - Chapter 6
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9
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Association Rules, Market Basket Analysis, Apriori Algorithm
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R1 - Chapter 8
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10
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Data Warehouse and OLAP Technologies, OLAP Operations in the Multidimensional Data Models
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R2 - Chapter 10
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11
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Web Mining
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R2 - Chapter 11
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12
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Classification with Artificial Neural Networks
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R1 - Chapter 9
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13
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Project presentation - I
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Project presentation
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14
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Project presentation - II
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Project presentation
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