A New Algorithm for High Average-utility Itemset Mining
High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold. The basic HUIM problem does not consider length of itemsets in it...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Shahrood University of Technology
2019-11-01
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| Series: | Journal of Artificial Intelligence and Data Mining |
| Assuntos: | |
| Acceso en liña: | http://jad.shahroodut.ac.ir/article_1615_b5e5afeabe8fa37c144c1276d94ae3a1.pdf |
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