L2.3 Data Mining Techniques Flashcards

(17 cards)

1
Q

What are the techniques in data mining?

A
  • Descriptive
  • Diagnostic
  • Predictive
  • Prescriptive
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2
Q

What are the characteristics of descriptive?

A
  • Used clustering and association rule mining techniques
  • Summarises past data to identify patterns
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3
Q

When will descriptive technique be used?

A
  • Used when understanding historical performance
  • Used when writing reports
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4
Q

What are the benefits of descriptive?

A
  • Summaries what the data shows
  • Provide a foundation for further analysis
  • Easy interpretation
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5
Q

What are the limitations of descriptive?

A
  • Cannot identify why it happens
  • Potential oversimplification of complex data
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6
Q

What are the characteristics of diagnostic?

A
  • Identify why something happened
  • Explains the reasons being past outcomes
  • Utilises statical analysis and data visualisation
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7
Q

When will diagnostic technique be used?

A
  • Used in healthcare when referring to the identification of an illness
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8
Q

What are the benefits of diagnostic?

A
  • Provide deeper insight and explanations
  • Enchanted understanding of business process
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9
Q

What are the limitations of diagnostic?

A
  • May not always be accurate due to tis quality and completeness
  • Can only based on the data provided
  • Events may have multiple causes
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10
Q

What are the characteristics of predictive?

A
  • Forecast future trends based on historical data
  • Incorporates various algorithms and machine learning techniques
  • Common use in sales forecasting and risk assessment
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11
Q

When will predictive technique be used?

A
  • Use when you want to identify what could happen, so you could prepare
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12
Q

What are the benefits of predictive?

A
  • Uses historical data to predict
  • Informed decision-making and proactive strategies
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13
Q

What are the limitations of predictive?

A
  • Prediction may be inaccurate due to changing conditions
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14
Q

What are the characteristics of prescriptive?

A
  • Recommends action based on data insights
  • Uses optimisation and simulation techniques
  • Common in logistics, finance, and healthcare
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15
Q

When will prescriptive technique be used?

A
  • Use when you want to know the next steps you should take for preparation of an event
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16
Q

What are the benefits of prescriptive?

A
  • Can provide a series of steps to follow
  • Improved operational efficiency
  • Improved resource allocation
17
Q

What are the limitations of prescriptive?

A
  • Decision relies on prediction accuracy
  • Might arise from complex models and assumptions