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  • Question
  • What is the purpose of cluster analysis in Data Warehousing?


  • Correct Answer
  • Cluster analysis is used to define the object without giving the class label It analyzes all the data that is present in the data warehouse and compare the cluster with the cluster that is already running It performs the task of assigning some set of objects into the groups are also known as clusters It is used to perform the data mining job using the technique like statistical data analysis It includes all the information and knowledge around many fields like machine learning, pattern recognition, image analysis and bio-informatics Cluster analysis performs the iterative process of knowledge discovery and includes trials and failures It is used with the pre-processing and other parameters as a result to achieve the properties that are desired to be used 


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    • 1. What is Bit Mapped Index?
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    • 2. What is data cleaning? How can we do that?
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    • 3. Explain the use of lookup tables and Aggregate tables.
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    • 4. What is Data Mart?
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    • 5. Difference between ER Modeling and Dimensional Modeling.
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    • 6. What are the different models used in cluster analysis?
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    • 7. What is Cascade and Drill Through? What is the difference between them?
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    • 8. Explain about various caches available in Data Integrator
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    • 9. What are the prime responsibilities of Data Integration Administrator?
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    • 10. What is Data Integration?
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