FULLY SOLVED BOOK LASY 5 YEARS PAPERS SOLVED PLUS GUESS

UNIT I INTRODUCTION 9
Data mining, Text mining, Web mining, Spatial mining, Process mining, BI process- Private and Public
intelligence, Strategic assessment of implementing BI
UNIT II DATA WAREHOUSING 9
Data ware house – characteristics and view - OLTP and OLAP - Design and development of data
warehouse, Meta data models, Extract/ Transform / Load (ETL) design
UNIT III DATA MINING TOOLS, METHODS AND TECHNIQUES 9
Regression and correlation; Classification- Decision trees; clustering –Neural networks; Market basket
analysis- Association rules-Genetic algorithms and link analysis, Support Vector Machine, Ant Colony
Optimization
UNIT IV MODERN INFORMATION TECHNOLOGY AND ITS BUSINESS 9
OPPORTUNITIES
Business intelligence software, BI on web, Ethical and legal limits, Industrial espionage, modern
techniques of crypto analysis, managing and organizing for an effective BI Team.
UNIT V BI AND DATA MINING APPLICATIONS 9
Applications in various sectors – Retailing, CRM, Banking, Stock Pricing, Production, Crime,
Genetics, Medical, Pharmaceutical.