MCA Seminor Guest Leature: Data Warehousing and Data Mining

About the Subject:

To expose the students to the concepts of Data warehousing Architecture and Implementation. To Understand Data mining principles and techniques and Introduce DM as a cutting edge business intelligence. To learn to use association rule mining for handling large data. To understand the concept of classification for the retrieval purposes. To know the clustering techniques in details for better organization and retrieval of data .To identify Business applications and Trends of Data mining

Topics to be covered in this Seminar:

Data Warehousing - Multidimensional Data Model - Schemas for Multidimensional Databases – OLAP Operations – Data Warehouse Architecture-Introduction to KDD process –Introduction - Data Mining Functionalities - Classification vs. Prediction – Data preparation for Classification and Prediction – Classification by Decision Tree Introduction – Bayesian Classification – Rule Based Classification – Classification by Back Propagation – Support Vector Machines – Associative Classification – Lazy Learners – Other Classification Methods – Prediction – Accuracy and Error Measures – Evaluating the Accuracy of a Classifier or Predictor – Ensemble Methods – Model Section-Cluster Analysis: - Types of Data in Cluster Analysis – A Categorization of Major Clustering Methods –Partitioning Methods – Hierarchical methods – Density-Based Methods – Grid-Based Methods –Model-Based Clustering Methods – Clustering High- Dimensional Data – Constraint-Based Cluster Analysis – Outlier Analysis.

Time to be planned :

1 or 2 days

Kind of program :

3D based Seminar and Guest Lecture for the Students

Reason for the program :

Kalam Scientist Team aiming to build young generation Scientist

Sample Clips for reference :