Data Warehousing and Data Mining SOLVED NOTES EBOOK CHAPTERWISE

Data Warehousing and Data Mining SOLVED NOTES  EBOOK CHAPTERWISE

Product Details: Data Warehousing and Data Mining    SOLVED NOTES  EBOOK CHAPTERWISE  

Format: EBOOK  DOWNLOAD IN FEW HOURS

Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM

Edition Description: 2018-19

Pages   :   200+

RATING OF EBOOK: EXCELLENT DOWNLOAD IN FEW HOURS

1. DOWNLOAD EBOOK WITH NOTES CHAPER WISE

 PREVIEW OF CHAPTERS SYLLABUS

Data Warehousing and Data Mining


UNIT I
Introduction - Data Mining - Functionalities - Classification of data mining systems -Major issues in data mining. Data warehouse and OLAP technology for data mining: What is a data warehouse - A Multi dimensional model - Data Warehouse Architecture -Data Warehouse Implementation - Further development of Data cube technology.
UNIT II
Data preprocessing: Data cleaning - Data integration and transformation - Data reduction - Discretisation and concept hierarchy generation. Data Mining Primitives: What defines a data mining tasks.
UNIT III
Mining Association Rules in Large Databases: Association rule mining - Mining single dimensional Boolean association rule from transactional databases Mining   Multidimensional association rules from relational databases and data warehouses.
UNIT IV
Classification and Prediction: What is classification - Issues regarding classification -Classification by decision tree induction - Bayesian classification.
UNIT V
Cluster Analysis: Types of data in cluster analysis - Categorization of major clustering methods - Partitioning methods - Hierarchical Methods.