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Data mining

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Samir Sabry
Samir Sabry
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DATA MINING ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Motivation: “Necessity is the Mother of Invention” ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Evolution of Database Technology (See Fig. 1.1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
What Is Data Mining? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Why Data Mining? — Potential Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Market Analysis and Management (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Market Analysis and Management (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Corporate Analysis and Risk Management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Fraud Detection and Management (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Fraud Detection and Management (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Other Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Data Mining: A KDD Process ,[object Object],May 2, 2010 Data Mining: Concepts and Techniques Data Cleaning Data Integration Databases Data Warehouse Knowledge Task-relevant Data Selection Data Mining Pattern Evaluation
Steps of a KDD Process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Data Mining and Business Intelligence May 2, 2010 Data Mining: Concepts and Techniques Increasing potential to support business decisions End User Business Analyst Data Analyst DBA Making Decisions Data Presentation Visualization Techniques Data Mining Information Discovery Data Exploration OLAP, MDA Statistical Analysis, Querying and Reporting Data Warehouses / Data Marts Data Sources Paper, Files, Information Providers, Database Systems, OLTP
Architecture of a Typical Data Mining System May 2, 2010 Data Mining: Concepts and Techniques Data Warehouse Data cleaning & data integration Filtering Databases Database or data warehouse server Data mining engine Pattern evaluation Graphical user interface Knowledge-base
Data Mining: On What Kind of Data? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Data Mining Functionalities (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Data Mining Functionalities (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Data Mining Functionalities (3) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Are All the “Discovered” Patterns Interesting? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Can We Find All and Only Interesting Patterns? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Data Mining: Confluence of Multiple Disciplines May 2, 2010 Data Mining: Concepts and Techniques Data Mining Database Technology Statistics Other Disciplines Information Science Machine Learning Visualization
Data Mining: Classification Schemes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
A Multi-Dimensional View of Data Mining Classification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
OLAP Mining: An Integration of Data Mining and Data Warehousing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
An OLAM Architecture May 2, 2010 Data Mining: Concepts and Techniques Data Warehouse Meta Data MDDB OLAM Engine OLAP Engine User GUI API Data Cube API Database API Data cleaning Data integration Layer3 OLAP/OLAM Layer2 MDDB Layer1 Data Repository Layer4 User Interface Filtering&Integration Filtering Databases Mining query Mining result
Major Issues in Data Mining (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Major Issues in Data Mining (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],May 2, 2010 Data Mining: Concepts and Techniques

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Data mining

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  • 14. Data Mining and Business Intelligence May 2, 2010 Data Mining: Concepts and Techniques Increasing potential to support business decisions End User Business Analyst Data Analyst DBA Making Decisions Data Presentation Visualization Techniques Data Mining Information Discovery Data Exploration OLAP, MDA Statistical Analysis, Querying and Reporting Data Warehouses / Data Marts Data Sources Paper, Files, Information Providers, Database Systems, OLTP
  • 15. Architecture of a Typical Data Mining System May 2, 2010 Data Mining: Concepts and Techniques Data Warehouse Data cleaning & data integration Filtering Databases Database or data warehouse server Data mining engine Pattern evaluation Graphical user interface Knowledge-base
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  • 22. Data Mining: Confluence of Multiple Disciplines May 2, 2010 Data Mining: Concepts and Techniques Data Mining Database Technology Statistics Other Disciplines Information Science Machine Learning Visualization
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  • 26. An OLAM Architecture May 2, 2010 Data Mining: Concepts and Techniques Data Warehouse Meta Data MDDB OLAM Engine OLAP Engine User GUI API Data Cube API Database API Data cleaning Data integration Layer3 OLAP/OLAM Layer2 MDDB Layer1 Data Repository Layer4 User Interface Filtering&Integration Filtering Databases Mining query Mining result
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