Mining concise representations of frequent high utility occupancy itemsets using generator patterns

Mining concise representations of frequent high utility occupancy itemsets using generator patterns

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Główni autorzy: Dương, Văn Hải, Hoàng, Minh Tiến, Trương, Chí Tín
Format: Journal article
Język:English
Wydane: 2025
Dostęp online:https://scholar.dlu.edu.vn/handle/123456789/4717
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Thư viện lưu trữ: Thư viện Trường Đại học Đà Lạt
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spelling oai:scholar.dlu.edu.vn:123456789-47172025-05-21T09:33:28Z Mining concise representations of frequent high utility occupancy itemsets using generator patterns Dương, Văn Hải Hoàng, Minh Tiến Trương, Chí Tín 2025-05-21T09:33:17Z 2025-05-21T09:33:17Z 2025 Journal article Bài báo đăng trên tạp chí trong nước (có ISSN), bao gồm book chapter https://scholar.dlu.edu.vn/handle/123456789/4717 en Dalat University Journal of Science
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
format Journal article
author Dương, Văn Hải
Hoàng, Minh Tiến
Trương, Chí Tín
spellingShingle Dương, Văn Hải
Hoàng, Minh Tiến
Trương, Chí Tín
Mining concise representations of frequent high utility occupancy itemsets using generator patterns
author_facet Dương, Văn Hải
Hoàng, Minh Tiến
Trương, Chí Tín
author_sort Dương, Văn Hải
title Mining concise representations of frequent high utility occupancy itemsets using generator patterns
title_short Mining concise representations of frequent high utility occupancy itemsets using generator patterns
title_full Mining concise representations of frequent high utility occupancy itemsets using generator patterns
title_fullStr Mining concise representations of frequent high utility occupancy itemsets using generator patterns
title_full_unstemmed Mining concise representations of frequent high utility occupancy itemsets using generator patterns
title_sort mining concise representations of frequent high utility occupancy itemsets using generator patterns
publishDate 2025
url https://scholar.dlu.edu.vn/handle/123456789/4717
_version_ 1845408434522947584

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