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Subject Syllabus

CY-604 (C) - Dataware Housing & Mining

CSCY · Semester 6

Course Modules

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

Data Mart Data Warehouse Architecture, extract and load Process Clean and Transform data Star ,Snowflake and Galaxy Schemas for Multidimensional databases Fact and dimension data Partitioning Strategy-Horizontal and Vertical Partitioning.

OLAP Operations OLAP Server: ROLAP, MOLAP, Data Warehouse implementation ,Efficient Computation of Data Cubes Processing of OLAP queries Indexing data.

Reduction Discretizaion and Concept Hierarchy Generation Basics of data mining Data mining techniques KDP (Knowledge Discovery Process)Application and Challenges of Data Mining Introduction of Web Structure Mining Web Usage Mining Spatial Mining Text Mining Security Issue Privacy Issue Ethical Issue.

Dimensional Boolean Association Rules Multi-Level Association Rule Apriori Algorithm Fp- Growth Algorithm Time series mining association rules, latest trends in association rules mining.

Algorithm Decision Tree Induction Bayesian Classification Association Rule Based Other Classification Methods Prediction Classifier Accuracy Categorization of methods Partitioning methods Outlier Analysis.