What is large itemset in SAP CRM-ANA - CRM Analytics?

SAP Term: large itemset

• Component: CRM-ANA

• Component Name: CRM Analytics

• Description: The itemsets that occur together frequently. In terms of minimum support, all itemsets satisfying the minimum support criteria.

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• Key Concepts: 
  Large itemset is a term used in SAP CRM Analytics to refer to a set of items that have a large number of transactions associated with them. This type of itemset is typically used to identify patterns in customer behavior and to identify potential opportunities for marketing campaigns. 
  
  How to use it: 
  Large itemset analysis can be used to identify customer segments that are more likely to purchase certain products or services. It can also be used to identify customer segments that are more likely to respond positively to certain marketing campaigns. By analyzing the large itemset, marketers can gain insights into customer behavior and develop targeted marketing strategies. 
  
  Tips & Tricks: 
  When analyzing large itemset data, it is important to consider the context of the data. For example, if the data is from a retail store, it may be useful to consider the seasonality of the data and any other factors that may influence customer behavior. Additionally, it is important to consider the size of the itemset when analyzing the data. A larger itemset may provide more insights into customer behavior, but it may also require more time and resources to analyze. 
  
  Related Information: 
  Large itemset analysis is closely related to association rule mining, which is a technique used in data mining to identify relationships between items in a dataset. Additionally, large itemset analysis can be used in conjunction with other techniques such as clustering and classification to gain further insights into customer behavior.