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Data Mining and Data Warehousing

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Paper Presentation for Data Mining and Data Warehosuing.

TecnologíaEmpresariales
1 de 25
Yogesh Benawat Sameer Deshmukh
Outline ,[object Object],[object Object],[object Object],[object Object]
Historical Perspective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Mining
Definition ,[object Object],[object Object],[object Object]
Why we need data mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Mining Models ,[object Object],[object Object]
Predictive Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Descriptive Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data mining process Fig. General Phases of Data Mining Process Problem Definition Creating Database Exploring database Preparation for creating a data mining model Building Data Mining Model Evaluation Phase Deploying the Data Mining model
Who needs data mining? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object]
Data Warehousing
Data Warehousing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehousing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehousing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Warehouses are Very Large Databases 35% 30% 25% 20% 15% 10% 5% 0% 5GB 5-9GB 10-19GB 50-99GB 250-499GB 20-49GB 100-249GB 500GB-1TB Initial Projected 2Q96 Source: META Group, Inc. Respondents
Data Warehousing ,[object Object]
Data Warehousing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Q ‘n’ A
Thank You!

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Data Mining and Data Warehousing

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  • 10. Data mining process Fig. General Phases of Data Mining Process Problem Definition Creating Database Exploring database Preparation for creating a data mining model Building Data Mining Model Evaluation Phase Deploying the Data Mining model
  • 11.
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  • 18. Warehouses are Very Large Databases 35% 30% 25% 20% 15% 10% 5% 0% 5GB 5-9GB 10-19GB 50-99GB 250-499GB 20-49GB 100-249GB 500GB-1TB Initial Projected 2Q96 Source: META Group, Inc. Respondents
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