A Reinduction-Based Approach for Efficient High Utility Itemset Mining from Incremental Datasets

A Reinduction-Based Approach for Efficient High Utility Itemset Mining from Incremental Datasets

Abstract High utility itemset mining is a crucial research area that focuses on identifying combinations of itemsets from databases that possess a utility value higher than a user-specified threshold. However, most existing algorithms assume that the databases are static, which is not realistic for...

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Autors principals: Pushp Sra, Satish Chand
Format: Article
Idioma:English
Publicat: SpringerOpen 2023-09-01
Col·lecció:Data Science and Engineering
Matèries:
High utility itemset mining
Data mining
Knowledge discovery
Memory efficient mining
Incremental datasets
Accés en línia:https://doi.org/10.1007/s41019-023-00229-4

Internet

https://doi.org/10.1007/s41019-023-00229-4

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