Vishwakarma Institute of Technology Master of Computer ...

BRACT’S
Vishwakarma Institute of Technology, Pune – 411 037
Department of Computer Engineering
Structure & Syllabus of MCA Pattern C11, issue 03, Rev 01 Dt 2/4/2011
22
FF No. : 654
CS72110::DATA WAREHOUSING AND DATA MINING
Credits: 03 Teaching Scheme: - Theory 3 Hrs/Week
Prerequisites: DBMS
Objectives: -
• To understand the process of data mining and the key steps involved well enough to
lead/manage a real-life data mining project
• Know the basics of data warehousing and how it facilitates data mining
• To understand fundamental issues in statistical data analysis that cut across all
procedures, such as generalization to other data, basic tradeoffs, and validity of
models.
• To deliver an overview of web data mining and other significant mining techniques
Unit I (9+2 Hrs)
Introduction
A. Difference between operational database systems and data warehouses, Use of Data
warehouse. A multidimentional data model, schema for multidimentional database: star,
snowflake ,fact constellation. Data ware house architecture, types of OLAP server, data
warehouse implementation. Diffrence between OLTP and Data Warehouse, Data cube
and OLAP, Concept hierarchies: total and partial, Set-grouping hierarchies, OLAP
operations: drill-down, Roll-up and extreme Roll-up, slice-dice and pivotmodels of Data
warehouse: Enterprise Warehouse, Data Mart, Virtual Warehouse .
B. Difference between OLAP and OLTP operations, star-net model,
Unit II (9+2 Hrs)
Introduction to Data mining
A. Data mining primitives, Techniques:- Clustering, classification, association rules,
linear and multiple regression, Feature selection, Mining text databases, multimedia
databases, data pre processing: data summarization, data cleaning ,data reduction,.
B. Text Mining, Mining Spatial ,Data Mining Application