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 Data-Applied.com: Association
Introduction Definition: An association rule can predict any number of attributes and also any combination of attributes They map relationships between attributes Parameter for selecting an Association Rule: Coverage: The number of instances they predict correctly Accuracy: The ratio of  coverageand total number of instances the rule is applicable We want association rule with high coverage and atleast minimum specified accuracy
Terminology used Terminology: Item – set: A combination of attributes Item: An attribute – value pair An example: For the weather data we have a table with each column containing an item – set having different number of attributes With each entry the coverage is also given The table is not complete, just gives us a good idea
Generation of association rules We need to specify a minimum coverage and accuracy for the rules to be generated before hand Steps: Generate the item sets Each item set can be permuted to generate a number of rules For each rule check if the coverage and accuracy is appropriate This is how we generate association rules
Associations using Data Applied’s web interface
Step1: Selection of data
Step2: Selecting Association
Step3: Result
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Data Applied: Association

  • 2. Introduction Definition: An association rule can predict any number of attributes and also any combination of attributes They map relationships between attributes Parameter for selecting an Association Rule: Coverage: The number of instances they predict correctly Accuracy: The ratio of coverageand total number of instances the rule is applicable We want association rule with high coverage and atleast minimum specified accuracy
  • 3. Terminology used Terminology: Item – set: A combination of attributes Item: An attribute – value pair An example: For the weather data we have a table with each column containing an item – set having different number of attributes With each entry the coverage is also given The table is not complete, just gives us a good idea
  • 4.
  • 5. Generation of association rules We need to specify a minimum coverage and accuracy for the rules to be generated before hand Steps: Generate the item sets Each item set can be permuted to generate a number of rules For each rule check if the coverage and accuracy is appropriate This is how we generate association rules
  • 6. Associations using Data Applied’s web interface
  • 10.
  • 11. The tutorials section is free, self-guiding and will not involve any additional support.
  • 12. Visit us at www.dataminingtools.net