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Data mining excel.pdf
- 1. Data Mining Presented by:Shubham singh To: Mr.Sanjay kumar
- 2. Outline Definition, motivation &application Branches of data mining Classification, clustering, Association rule mining Some classification techniques
- 3. What Is DataMining? Data mining (knowledge discovery in databases): Extraction of interesting (non-trivial, implicit, previously ◦ unknown and potentially useful) information or patterns from data in large databases Alternative names and their “inside stories”: Data mining: a misnomer? ◦ Knowledge discovery(mining) in databases (KDD), ◦ knowledge extraction, data/pattern analysis, data archeology, business intelligence, etc.
- 4. Data Mining Definition Findinghidden information in a database Fit data to a model Similar terms Exploratory data analysis ◦ Data driven discovery ◦ Deductive learning ◦
- 5. Steps of datamining Data integration Data selection Data cleaning Data transformation Data mining Pattern evaluation Knowledge presentation
- 6. Why Mine Data?Commercial Viewpoint Lots of data is being collected and warehoused Web data, e-commerce ◦ purchases at department/ ◦ grocery stores Bank/Credit Card ◦ transactions Computers have become cheaper and more powerful Competitive Pressure is Strong Provide better, customized services for an edge (e.g. in Customer ◦ Relationship Management)
- 7. Is data mininga threat to privacy and information security? Purpose specifications and use limitations. Openness Security measures like encryption
- 8. Data warehousing Data warehousingprovides the Enterprise with a memory. Data mining provides the Enterprise and Intelligence.
- 9. Data warehousing? A datawarehouse is a subject- oriented,integrated,time-variant and non-volatile collection of data in support of management’s decision making process. The most common form of data integration. Copy sources into a single database and try to keep it up-to-date. Usual method:periodic reconstruction of the warehouse,perhaps overnight. Frequently essential for analytic queries.
- 10. Data mining tools MicrosoftSQL Server 2005 Microsoft SQL Server 2008 Oracle Data Mining DBMiner
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