JNTUK B.Tech CSE 3-1 R20 Data Warehousing and Data mining DWDM Materials PDF for all 5 units are now available, the candidates who are looking for good and easy material for your preparation can download from here.
UNIT I:
Data Warehousing and Online Analytical Processing: Data Warehouse: Basic concepts,
Data Warehouse Modelling: Data Cube and OLAP, Data Warehouse Design and Usage, Data Warehouse
Implementation, Introduction: Why and What is data mining, What kinds of data need to be mined and
patterns can be mined, Which technologies are used, Which kinds of applications are targeted
UNIT II:
Data Pre-processing: An Overview, Data Cleaning, Data Integration, Data Reduction, Data Transformation and Data Discretization.
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UNIT III:
Classification: Basic Concepts, General Approach to solving a classification problem, Decision Tree
Induction: Attribute Selection Measures, Tree Pruning, Scalability and Decision Tree Induction, Visual
Mining for Decision Tree Induction
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UNIT IV:
Association Analysis: Problem Definition, Frequent Item set Generation, Rule Generation: Confident
Based Pruning, Rule Generation in Apriori Algorithm, Compact Representation of frequent item sets, FPGrowth Algorithm.
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UNIT V:
Cluster Analysis: Overview, Basics and Importance of Cluster Analysis, Clustering techniques, Different
Types of Clusters; K-means: The Basic K-means Algorithm, K-means Additional Issues, Bi-secting K
Means,
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