Data Mining Seminar Report with PPT

Description

INTRODUCTION

Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations.

Data Mining Seminar Report

Page Length : 28

Content :

• • Introduction
  • Scope of Data Mining
  • Data Mining Process
  • Data mining Architecture
  • Data mining Techniques
  • Application of Data Mining
  • Advantages Data Mining
  • Disadvantages Data Mining
  • Conclusion
  • Reference

Data Mining Presentation Report (PPT)

Page Length : 22

Content :

• Data Mining
• Data Mining Definition
• Data Mining – Two Main Components
• Data Mining vs. Data Analysis
• What is (not) Data Mining?
• Related Fields
• Data Mining Process
• Major Data Mining Tasks
• Uses of Data Mining
• Sources of Data for Mining
• Challenges of Data Mining
• Advantages
• Conclusion
• Reference