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BUSINESS INTELLIGENCE
DATA MINING
Mrs. Megha Sharma
M.Sc. Computer Science. B.Ed.
DATA MINING
Data Mining is a discovering or “mining” knowledge
from large amount of data.
Data mining is a process that uses statistical ,
mathematical, and artificial intelligence techniques
to extract and identify useful information and
subsequent knowledge from large sets of data.
Data Mining as a Blend of Multiple Disciplines
Statistics
1
Pattern Recognition
2
Mathematical Modelling
3
Management Information System
4
How Data Mining Works.
Data Mining Applications.
 Customer relationship management.
Banking.
Retailing and Logistics.
Manufacturing and Production
Insurance.
Computer hardware and Software.
Government and Defence.
Travel Industry.
Health care and Medicine.
Six-step CRISP-DM. CRoss-Industry Standard Process for Data Mining
Business
Understanding
Data
Understanding
Data
Preparation
Model Building
Testing and
Evalution
Deployment
Data
Source
Thanks For Watching.
Next Topic : Classification And Regression.
About the Channel
This channel helps you to prepare for BSc IT and BSc computer science subjects.
In this channel we will learn Business Intelligence , Digital Electronics,
Internet OF Things Python programming , Data-Structure etc.
Which is useful for upcoming university exams.
Gmail: omega.teched@gmail.com
Social Media Handles:
omega.teched
megha_with
OMega TechED

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Data Mining

  • 2. BUSINESS INTELLIGENCE DATA MINING Mrs. Megha Sharma M.Sc. Computer Science. B.Ed.
  • 3. DATA MINING Data Mining is a discovering or “mining” knowledge from large amount of data. Data mining is a process that uses statistical , mathematical, and artificial intelligence techniques to extract and identify useful information and subsequent knowledge from large sets of data.
  • 4. Data Mining as a Blend of Multiple Disciplines Statistics 1 Pattern Recognition 2 Mathematical Modelling 3 Management Information System 4
  • 6. Data Mining Applications.  Customer relationship management. Banking. Retailing and Logistics. Manufacturing and Production Insurance. Computer hardware and Software. Government and Defence. Travel Industry. Health care and Medicine.
  • 7. Six-step CRISP-DM. CRoss-Industry Standard Process for Data Mining Business Understanding Data Understanding Data Preparation Model Building Testing and Evalution Deployment Data Source
  • 8. Thanks For Watching. Next Topic : Classification And Regression.
  • 9. About the Channel This channel helps you to prepare for BSc IT and BSc computer science subjects. In this channel we will learn Business Intelligence , Digital Electronics, Internet OF Things Python programming , Data-Structure etc. Which is useful for upcoming university exams. Gmail: omega.teched@gmail.com Social Media Handles: omega.teched megha_with OMega TechED