articleOct 29, 2012Closed access
Mining high utility itemsets without candidate generation
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Abstract
High utility itemsets refer to the sets of items with high utility like profit in a database, and efficient mining of high utility itemsets plays a crucial role in many real-life applications and is an important research issue in data mining area. To identify high utility itemsets, most existing algorithms first generate candidate itemsets by overestimating their utilities, and subsequently compute the exact utilities of these candidates. These algorithms incur the problem that a very large number of candidates are generated, but most of the candidates are found out to be not high utility after their exact utilities are computed. In this paper, we propose an algorithm, called HUI-Miner (High Utility Itemset…
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2Topics & keywords
Topics
Keywords
- Computer science
- Data mining
- Pruning
- Heuristic
- Computation
- Association rule learning
- Artificial intelligence
- Algorithm
UN Sustainable Development Goals
- Responsible consumption and production
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