Introduction Download PPT Slides
1 What Motivated Data Mining? Why Is It Important?
2 So, What Is Data Mining?
3 Data Mining--On What Kind of Data?
4 Data Mining Functionalities—What Kinds of Patterns Can Be Mined?
5 Are All of the Patterns Interesting?
6 Classification of Data Mining Systems
7 Data Mining Task Primitives
8 Integration of a Data Mining System with a Database or Data Warehouse System
9 Major Issues in Data Mining
10 Data Mining Applications
11 Data Mining System Products and Research Prototypes
12 Social Impacts of Data Mining
2 So, What Is Data Mining?
3 Data Mining--On What Kind of Data?
4 Data Mining Functionalities—What Kinds of Patterns Can Be Mined?
5 Are All of the Patterns Interesting?
6 Classification of Data Mining Systems
7 Data Mining Task Primitives
8 Integration of a Data Mining System with a Database or Data Warehouse System
9 Major Issues in Data Mining
10 Data Mining Applications
11 Data Mining System Products and Research Prototypes
12 Social Impacts of Data Mining
1 Why Preprocess the Data?
2 Descriptive Data Summarization
3 Data Cleaning
4 Data Integration and Transformation
5 Data Reduction
6 Data Discretization and Concept Hierarchy Generation
7 Feature Selection Techniques
2 Descriptive Data Summarization
3 Data Cleaning
4 Data Integration and Transformation
5 Data Reduction
6 Data Discretization and Concept Hierarchy Generation
7 Feature Selection Techniques
Mining Frequent Patterns and Associations Download PPT Slides
1 Basic Concepts and a Road Map
2 Efficient and Scalable Frequent Item set Mining Methods
3 Mining Various Kinds of Association Rules
4 Using WEKA software for finding Association Rules
2 Efficient and Scalable Frequent Item set Mining Methods
3 Mining Various Kinds of Association Rules
4 Using WEKA software for finding Association Rules
Classification and Prediction Download PPT Slides
1 What Is Classification? What Is Prediction?
2 Issues Regarding Classification and Prediction
3 Classification by Decision Tree Induction Download PPT More Slides
4 Bayesian Classification Download PPT Slides
5 Rule-Based Classification Download PPT Slides
6 Prediction
7 Accuracy and Error Measures
8 Evaluating the Accuracy of a Classifier or Predictor
9 Using WEKA software for data Classification
10 Using Oracle Data Mining Download PPT Slides
2 Issues Regarding Classification and Prediction
3 Classification by Decision Tree Induction Download PPT More Slides
4 Bayesian Classification Download PPT Slides
5 Rule-Based Classification Download PPT Slides
6 Prediction
7 Accuracy and Error Measures
8 Evaluating the Accuracy of a Classifier or Predictor
9 Using WEKA software for data Classification
10 Using Oracle Data Mining Download PPT Slides
Classification Using Lazy Learning Techniques Download PPT Slides
1 Tasks of concept learning and classification
2 Features of lazy learning
3 Similarity measures
4 Calculate and Explain values of similarity
5 Formulate lazy learning tasks
6 Lazy learning algorithms : (Instance-based learning and kNN-learning)
7 Apply the lazy learning algorithms to learning tasks, (Classification task)
8 Advantages and disadvantages of lazy learning algorithms
2 Features of lazy learning
3 Similarity measures
4 Calculate and Explain values of similarity
5 Formulate lazy learning tasks
6 Lazy learning algorithms : (Instance-based learning and kNN-learning)
7 Apply the lazy learning algorithms to learning tasks, (Classification task)
8 Advantages and disadvantages of lazy learning algorithms
Classification using Soft-Computing Download PPT Slides
1 Introduction to Soft Computing
2 Introduction to Rough Set Theory
3 Reduct Computation Techniques
4 Classification using Rough Set Theory
5 Using Rosetta Tool for Reduct computation and data Classification
6 Major Issues in Rough Set Theory for Data Mining
7 Fuzzy Set and Data Mining Download PPT Slides
2 Introduction to Rough Set Theory
3 Reduct Computation Techniques
4 Classification using Rough Set Theory
5 Using Rosetta Tool for Reduct computation and data Classification
6 Major Issues in Rough Set Theory for Data Mining
7 Fuzzy Set and Data Mining Download PPT Slides
Cluster Analysis Download PPT Slides Download PPT More Slides
1 What Is Cluster Analysis?
2 Types of Data in Cluster Analysis
3 A Categorization of Major Clustering Methods
2 Types of Data in Cluster Analysis
3 A Categorization of Major Clustering Methods
Mining Spatial, Multimedia, Text, and Web Data
1 Spatial Data Mining
2 Multimedia Data Mining
3 Text Mining Download PPT Slides
4 Mining the World Wide Web Download PPT Slides
2 Multimedia Data Mining
3 Text Mining Download PPT Slides
4 Mining the World Wide Web Download PPT Slides
Applications and Trends in Data Mining
1 Data Mining Applications
2 Data Mining System Products and Research Prototypes
3 Additional Themes on Data Mining
4 Social Impacts of Data Mining
5 Data Mining Methodologies Download PPT Slides
2 Data Mining System Products and Research Prototypes
3 Additional Themes on Data Mining
4 Social Impacts of Data Mining
5 Data Mining Methodologies Download PPT Slides
1 What Is a Data Warehouse?
2 A Multidimensional Data Model
3 Data Warehouse Architecture
4 Data Warehouse Implementation
5 From Data Warehousing to Data Mining
2 A Multidimensional Data Model
3 Data Warehouse Architecture
4 Data Warehouse Implementation
5 From Data Warehousing to Data Mining
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