Data Mining & Warehousing (CD503 (A))-CSE-Data Science/Data Science (V semester) | RGPV

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• Syllabus

• Syllabus - Data Mining & Warehousing (CD503 (A))

• Data Warehousing

• Introduction to Data Warehousing
• Data Delivery Process and Architecture
• Data Preprocessing
• Data Warehouse Design and Implementation
• Multidimensional Data model and Pattern Warehousing

• OLAP Systems

• Basic Concepts and Queries
• Types of OLAP servers and Operations
• Data Warehouse Hardware and Operational Design

• Introduction to Data & Data Mining

• Data Types and Quality
• Data Preprocessing and Similarity Measures
• Summary Statistics and Data Distributions
• Basic Data Mining Tasks
• Issues in Data Mining and Introduction to Fuzzy Sets and Logic

• Supervised Learning (Classification)

• Statistical-based Algorithms
• Distance-based Algorithms
• Decision Tree-based Algorithms
• Neural Network-based Algorithms
• Rule-based Algorithms and Probabilistic Classifiers

• Clustering & Association Rule mining

• Hierarchical Algorithms
• Partitional Algorithms
• Clustering Large Databases
• Association Rules