Efficient Algorithms to Mine Concise Representations of Frequent High Utility Occupancy Patterns

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Efficient Algorithms to Mine Concise Representations of Frequent High Utility Occupancy Patterns

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Bibliografiske detaljer
Những tác giả chính:	Dương, Văn Hải, Phạm, Quang Huy, Trương, Chí Tín, Philippe, Fournier-Viger
Format:	Journal article
Sprog:	English
Udgivet:	Springer 2024
Online adgang:	https://scholar.dlu.edu.vn/handle/123456789/3441
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Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Lignende værker

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An efficient algorithm for mining frequent itemsets with single constraint
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NUCLEAR: An Efficient Method for Mining Frequent Itemsets and Generators from Closed Frequent Itemsets
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EHUSM: Mining High Utility Sequences with a Pessimistic Utility Model
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An efficient method for mining frequent itemsets with double constraints
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MFS-SubSC: An Efficient Algorithm for Mining Frequent Sequences with Sub-Sequence Constraint
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Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure
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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
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Approximate high utility itemset mining in noisy environments
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Pattern mining: Current challenges and opportunities
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Mining association rules from high utility itemsets
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