[PDF] association analysis in machine learning

Dans le domaine du data mining la recherche des règles d'association est une méthode populaire étudiée d'une manière approfondie dont le but est de découvrir des relations ayant un intérêt pour le statisticien entre deux ou plusieurs variables WikipédiaQuestions associées
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  • What is association analysis in ML?

    Association analysis is the task of finding interesting relationships in large datasets. These interesting relationships can take two forms: frequent item sets or association rules. Frequent item sets are a collection of items that frequently occur together.

  • What is association analysis with example?

    Association analysis basically helps to determine the 'association' between different items whether it be Grocery, Medical Science, etc. Item-set: Any subset of I is called an Item-set. Ex: {Bread, Diaper},{},{Eggs}, etc are Item-sets as all of them are subsets of I.

  • What is the method of association analysis?

    Association Analysis is simply a search through the data for combinations of items whose statistics are interesting. It helps us establish rules dictating something like “If A occurs then B is likely to occur as well.”
  • Association is a data mining technique that discovers the probability of the co-occurrence of items in a collection. The relationships between co-occurring items are expressed as Association Rules.
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