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AD-603 (A) · Data Mining and Warehousing/Official Syllabus

Data Mining and Warehousing (AD-603 (A)) - Official Syllabus

1
Unit 1

Data Warehousing

  • Data Warehousing: Introduction, Delivery Process, Data warehouse Architecture
  • Data Pre-processing: Data cleaning, Data Integration and transformation, Data reduction
  • Data warehouse Design: Data warehouse schema, Partitioning strategy
  • Data warehouse Implementation, Data Marts, Meta Data
  • Example of a Multidimensional Data model
  • Introduction to Pattern Warehousing
2
Unit 2

OLAP Systems

  • OLAP Systems: Basic concepts, OLAP queries
  • Types of OLAP servers
  • OLAP operations
  • Data Warehouse Hardware and Operational Design
  • Security, Backup And Recovery
3
Unit 3

Introduction to Data & Data Mining

  • Data Types, Quality of data
  • Data Pre-processing
  • Similarity measures
  • Summary statistics
  • Data distributions
  • Basic data mining tasks, Data Mining Vs knowledge discovery in databases
  • Issues in Data mining
  • Introduction to Fuzzy sets and fuzzy logic
4
Unit 4

Supervised Learning: Classification

  • Statistical-based algorithms
  • Distance-based algorithms
  • Decision tree-based algorithms
  • Neural network-based algorithms
  • Rule-based algorithms
  • Probabilistic Classifiers
5
Unit 5

Clustering & Association Rule mining

  • Hierarchical algorithms
  • Partitional algorithms
  • Clustering large databases BIRCH, DBSCAN, CURE algorithms
  • DBSCAN
  • CURE algorithms
  • Association rules: Parallel and distributed algorithms such as Apriori and FP growth algorithms
  • FP growth algorithms

Reference Books

  • Data Mining : Introductory and Advanced topics — Margaret H. Dunham — Pearson Edu.
  • Data Warehousing in the Real World — Anahory, Murray — Pearson Edu.
  • Introduction to Data Mining — Pang-Ning Tan, Steinbach, Kumar — Pearson Edu
  • Data Mining : Concepts and Techniques — Jaiwei Han, Micheline Kamber — Morgan Kaufmann Publishers
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