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
- 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.
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