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Everything about Affinity analysis

Market research and business management technique

Affinity analysis falls under the umbrella term of data mining which uncovers meaningful correlations between different entities according to their co-occurrence in a data set. In almost all systems and processes, the application of affinity analysis can extract significant knowledge about the unexpected trends. In fact, affinity analysis takes advantages of studying attributes that go together which helps uncover the hidden patterns in a big data through generating association rules. Association rules mining procedure is two-fold: first, it finds all frequent attributes in a data set and, then generates association rules satisfying some predefined criteria, support and confidence, to identify the most important relationships in the frequent itemset. The first step in the process is to count the co-occurrence of attributes in the data set. Next, a subset is created called the frequent itemset. The association rules mining takes the form of if a condition or feature (A) is present then another condition or feature (B) exists. The first condition or feature (A) is called antecedent and the latter (B) is known as consequent. This process is repeated until no additional frequent itemsets are found. There are two important metrics for performing the association rules mining technique: support and confidence. Also, a priori algorithm is used to reduce the search space for the problem. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Affinity analysisA 5-minute orientation
  2. Skim a recent paper: Affinity-based isolation of extracellular vesicles and the effects on downstream molecular analysisInfluential work since 2022
  3. Pick up a classic book: The Development Of Chemistry, 1789-1914The most-reprinted book on the subject
  4. Read the landmark paper: Analysis of the eukaryotic prenylome by isoprenoid affinity taggingCited 165 times
  5. Go sideways: Association rule learningA closely related topic
  6. Go sideways: Customer analyticsA closely related topic

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  1. Application of affinity analysis techniques in retail
  2. Application of affinity analysis techniques in clinical diagnosis

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🆕 Influential since 2022

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