Data Mining (IT 603(B))-Information Technology (VI) | RGPV

---

• Syllabus

• Syllabus - Data Mining (IT 603(B))

• Data Warehousing

• Introduction to Data Warehousing
• Data Mart and Data Warehouse Architecture
• Data Processing and Schemas
• Data Partitioning and OLAP
• Data Warehouse Implementation

• Data Mining

• Data Preprocessing and Integration
• Data Reduction and Hierarchy Generation
• Basics of Data Mining
• Applications and Challenges of Data Mining

• Mining Association Rules in Large Databases

• Association Rule Mining
• Time Series and Trends in Association Rules Mining

• Classification and Clustering

• Distance Measures and Clustering Algorithms
• Classification Methods and Prediction
• Classifier Accuracy and Outlier Analysis

• Web Mining and its types, Spatial Mining, Temporal Mining, Text Mining, Security Issue, Privacy Issue, Ethical Issue

• Introduction to Web Mining and its types
• Spatial and Temporal Mining
• Text Mining and Ethical Issues