What are the applications of frequent itemset analysis ?

Applications of frequent itemset analysis :-

• Related concepts :-

  1. Let items be words, and let baskets be documents (e.g., Web pages, blogs, tweets).
  2. A basket/document contains those items/words that are present in the document.
  3. If we look for sets of words that appear together in many documents, the sets will be dominated by the most common words (stop words).
  4. If the document contain many the stop words such as “and” and “a” then it will consider as more frequent itemsets.
  5. However, if we ignore all the most common words, then we would hope to find among the frequent pairs some pairs of words that represent a joint concept.

• Plagiarism :-

  1. Let the items be documents and the baskets be sentences.
  2. An item is in a basket if the sentence is in the document.
  3. This arrangement appears backwards, and we should remember that the relationship between items and baskets is an arbitrary many-many relationship.
  4. In this application, we look for pairs of items that appear together in several baskets.
  5. If we find such a pair, then we have two documents that share several sentences in common.

• Biomarkers :-

  1. Let the items be of two types such as genes or blood proteins, and diseases.
  2. Each basket is the set of data about a patient: their genome and blood-chemistry analysis, as well as their medical history of disease.
  3. A frequent itemset that consists of one disease and one or more biomarkers suggest a test for the disease.