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Subject Syllabus

AD-603 (A) - Data Mining and Warehousing

AIDS · Semester 6

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

DataPre-processing: Data cleaning Data Integration and transformation Data reduction.Data warehouseDesign: Data warehouse schema Partitioning strategy Data warehouse Implementation Data Marts,Meta Data Example of a Multidimensional Data model.Introduction to Pattern Warehousing.

operations etc.Data Warehouse Hardware and Operational Design: Security Backup And Recovery.

processing Similaritymeasures Summary statistics Data distributions Basic data mining tasks Data Mining V/sknowledge discovery in databases.Issues in Data mining.Introduction to Fuzzy sets and fuzzylogic.

algorithms,Decision tree-based algorithms Neural network-based algorithms Rule-based algorithms,Probabilistic Classifiers

algorithms Clusteringlarge databases - BIRCH, DBSCAN, CURE algorithms.Associationrules: Parallel and distributedalgorithms such as Apriori and FP growth algorithms.