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Available courses

Data mining and warehouse

Data mining and warehouse course about.                                                                                                                                  Contents.                                                  

Data Mining: Introduction, Data Mining Definitions, Knowledge Discovery in Databases (KDD) Vs. Data Mining, DBMS Vs. Data Mining, Data Mining techniques, Problems, Issues and Challenges in DM, DM Applications.

Mining Frequent Patterns: Basic Concept Frequent Item Set Mining Methods Apriori and Frequent Pattern Growth (FP-Growth) algorithms Mining Association Rules.

Classification: Basic Concepts, Issues, And Algorithms: Decision Tree Induction. Bayes Classification Methods, Rule-Based Classification, Lazy Learners (or Learning from your Neighbours), k-Nearest Neighbour, Prediction, Accuracy-Precision and Recall.

Clustering: Cluster Analysis, Partitioning Methods, Hierarchical Methods, Density-Based Methods, Grid-Based Methods, Evaluation of Clustering.

Data Warehouse: Data Warehouse basic concepts, Data Warehouse Modeling, Data Cube and OLAP: Characteristics of OLAP systems, Multidimensional view and Data cube, Data Cube Implementations, Data Cube operations, Implementation of OLAP and overview on OLAP Software.

    

Data mining and warehouse

Data Mining and Warehouse About the course

                                                                                                                         Contents

Data Mining: Introduction, Data Mining Definitions, Knowledge Discovery in Databases (KDD) Vs. Data Mining, DBMS Vs. Data Mining, Data Mining techniques, Problems, Issues and Challenges in DM, DM Applications.

Mining Frequent Patterns: Basic Concept Frequent Item Set Mining Methods Apriori and Frequent Pattern Growth (FP-Growth) algorithms Mining Association Rules.

Classification: Basic Concepts, Issues, And Algorithms: Decision Tree Induction. Bayes Classification Methods, Rule-Based Classification, Lazy Learners (or Learning from your Neighbours), k-Nearest Neighbour, Prediction, Accuracy-Precision and