Business Intelligence / Data Mining Flashcards

Decks in this Class (7):

• Lecture 1

  Lecture 1

  Sample Cards:

  what does eee stand for,

  entire industry can employ analytics to,

  computer applications have moved from tr
  26 Cards
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• Lecture 2

  Lecture 2

  Sample Cards:

  data,

  how is data obtained,

  what does data consist of
  57 Cards
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• Lecture 4

  Lecture 4

  Sample Cards:

  oltp,

  olap,

  where is oltp used
  59 Cards
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• Lecture 5 Data Mining

  Lecture 5 (Data Mining)

  Sample Cards:

  why data mining,

  definition of data mining,

  data mining characteristics and objectiv
  30 Cards
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• Lecture 8 Big Data Concepts

  Lecture 8 - Big Data Concepts

  Sample Cards:

  vs that define big data,

  challenges of big data,

  critical success factors of the big data
  21 Cards
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• Lecture 9 Mapreduce And Hadoop

  Lecture 9 - MapReduce and Hadoop
  0 Cards
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• Lecture 7 Bi And Data Mining 2

  Lecture 7 - BI and Data Mining 2

  Sample Cards:

  overfitting results in,

  training error no longer provides,

  what can cross validation technique be u
  33 Cards
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