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Data Warehousing & Data Mining
Data Mining with SQL Server Integration Services
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2. Members
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DaladLimsaihuaID. 51653095
PanitaYongyuthID.51653269
SupamitBoontaID.51653517
3. Abbreviation
SQL Server Integration Services - SSIS
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4. Objective
By the end of the presentation you will understand:
The basic concept of SSIS including the control flow and data flow.
Performing data mining related transformations and tasks in SSIS
The text mining solution based on Term Extraction and Term Look Up transformations
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5. Agenda
Overview of SSIS.
Working with SSIS in Data Mining
Text Mining Transformations
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6. Ms. DaladLimsaihua
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Overview Of SSIS
7. Overview of SSIS
SSIS belong to the extraction, transformation, and loading (ETL).
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8. Data Integration Architecture Before Integration Service
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9. Data Integration Architecture With Integration Service
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10. SSIS Architecture
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11. SSIS Components
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Package SSIS *.dtsx ( DTS *.dts) Package Load data, Send email
Control flow Flow Flow chart Control flow Task Copy data Control flow
Data flow Control flow data Transform data aggregation
12. Benefits of SSIS
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source destination target Oracle SQL Server Reporting service report
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File Folder DB SSIS File temp file
13. SSIS Tasks # 1
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14. SSIS Tasks # 2
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15. SSIS Transformations #1
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16. SSIS Transformations #2
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17. SSIS Transformations #3
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18. Mr. SupamitBoonta
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Working with SSIS in Data Mining
19. Data Mining in SSIS Environment
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SSIS provides a flow environment for data extraction, loading, and transformation.
Can use to load data from various sources, join them together, normalize column values, remove dirty records, replace missing values, split data into training and testing datasets, and so on.
20. Tasks and Transforms for Data Mining
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Data Mining Query Task
Analysis Services Processing Task
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Analysis Services Execute DDL Task
Data Mining Query Transformation
Data Mining Model Training Transformation
Term Extraction Transformation
Term Lookup Transformation
21. Clustering
Decision Tree
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Demo
22. Ms. PanitaYongyuth
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Text Mining Transformations
23. Text Mining Transformations
This section will focus on
Term Extraction Transformation
Term Look Up Transformation
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24. Model types to perform data mining
Classification Model
Use the key words and phases nested table as input to predict the class of a document.
Clustering Model
Find similar documents based on common occurrences.
Association Model
Detect cross-correlations between keys word and phases.
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25. Process of text mining
Term Extraction Transformation
Build the dictionary of keys words and phases over a collection of representative documents.
Term Look Up Transformation
Based on the dictionary, extract the list of significant key word and phases for each document to be analyzed.
Training mining
Training miningmodels on top the transformed data.
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26. Thank for your attention
: D
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Demo TimeText Mining