این فایل مقدمه ای بر شناسائی و مقایسه میان داده کاوی و تحلیل روی خط است که با شناسائی وجوه تشابه و تناظر میان این دو ابزار به رابطه تکمیل کننده این دو دانش و تکنیک می پردازد.

1. Yousef Asgari – DBM
OLAP & Data Mining
(DBM)

2. OLAP
Data Mining OLAP Relationship

4. Data Mining Engine

5. DataMiningLifeCycle
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7. OLAP

8. Introduction
-(Data Warehouse)
-(OLTP)
-(OLAP)
-(BI)

9. Data Warehouse
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10. (W. H. Inmon)
Data warehousing: The process of constructing
and using data warehouses
Data Warehouse

11. Data Warehouse /Subject-Oriented
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12. Data Warehouse /Integrated
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13. Data Warehouse /Time Variant
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14. Data Warehouse /Nonvolatile
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15. 
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OLAP


17. •(OLTP)
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•(OLAP)
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•(OLTP vs. OLAP)
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18. OLAPOLTP
OLTP OLAP
users clerk, IT professional knowledge worker
function day to day operations decision support
DB design application-oriented subject-oriented
data current, up-to-date
detailed, flat relational
isolated
historical,
summarized, multidimensional
integrated, consolidated
usage repetitive ad-hoc
access read/write
index/hash on prim. key
lots of scans
unit of work short, simple transaction complex query
# records accessed tens millions
#users thousands hundreds
DB size 100MB-GB 100GB-TB
metric transaction throughput query throughput, response

19. OLAP
OLAP
OLAP
OLAP

20. 
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OLAP

21. Yousef Asgari – DBM
OLAP
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0-D

22. Yousef Asgari – DBM
•
OLAP
(Region)
Dimensions: Product, Location, Time
Hierarchical summarization paths
Industry Region Year
Category Country Quarter
Item City Month Week
Office Day

23. Yousef Asgari – DBM
OLAP

24. Yousef Asgari – DBM
OLAP
time,product
time,product,location
time, product, location, supplier
all
time product location supplier
time,location
time,supplier
product, location
product,supplier
location,supplier
time,product,supplier
time,location,supplier
product,location,supplier
0-D(apex) cuboid
1-D cuboids
2-D cuboids
3-D cuboids
4-D(base) cuboid

25. OLAP
 Roll up(Drill-up): Summarize data
 Drill down (roll down): reverse of roll-up
 Slice and dice: project and select
 Pivot (rotate):

26. (DM vs. OLAP)

27. Broadcast and compress for seamless delivery

28. »
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»
OLAP & Data Mining

29. »(OLAP & DM)
»OLAP
»
OLAP
»
OLAP
OLAP & Data Mining

30. »OLAP(BI)
»
»
»OLAP
OLAP & Data Mining

31. »OLAP
»OLAP
»OLAP
»OLAP
OLAP & Data Mining

32. Yousef Asgari – DBM
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