Explain simple data mining applications with examples PowerPoint PPT Presentation

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Title: Explain simple data mining applications with examples


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Data Warehousing Data Mininginfo_at_casestudyhe
lp.in91 94220-28822
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  • Data Warehousing Data Mining (Part -2)
  •  
  • Q1.What are the main areas of criticism of
    Stores Division? Explain.
  • Q2.Performance Indicators (PI) can be developed
    for the various domains Explain.
  • Q3.The ISO 9000 set of guidelines is for
    customers/buyers and suppliers to select an
    appropriate quality assurance model as relevant
    to a particular contractual   relationship. ISO
    9004 provides the set of guidelines to develop
    and implement       the quality management
    system. Explain

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  • Q4.Explain the important factors of a Stores
    Division as one of the most important  divisions
    serving the needs of all the departments and
    influencing the efficiency and productivity of
    any industry.
  • Q5.Explain simple data mining applications with
    examples.
  • Q6.Explain the technology of Machine learning as
    a burgeoning new technology or  
  • mining knowledge from data,

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