Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Amel Hidouri"'
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783031089732
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84e670a732acf025a40ac43f8192a1ab
https://doi.org/10.1007/978-3-031-08974-9_50
https://doi.org/10.1007/978-3-031-08974-9_50
Publikováno v:
Data and Knowledge Engineering
Data and Knowledge Engineering, Elsevier, 2021, 136 (101927:1-101927:15), ⟨10.1016/j.datak.2021.101927⟩
Data and Knowledge Engineering, Elsevier, 2021, 136 (101927:1-101927:15), ⟨10.1016/j.datak.2021.101927⟩
International audience; A high utility itemset mining problem is the question of recognizing a set of items that have utility values greater than a given user utility threshold. This generalization of the classical problem of frequent itemset mining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e23a29d5b1421675c71e6ad9d8881e08
https://hal.archives-ouvertes.fr/hal-03466365
https://hal.archives-ouvertes.fr/hal-03466365
Publikováno v:
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)
ICTAI 2021: 33rd IEEE International Conference on Tools with Artificial Intelligence
ICTAI 2021: 33rd IEEE International Conference on Tools with Artificial Intelligence, Nov 2021, Washington D.C (virtual), United States. pp.582-589, ⟨10.1109/ICTAI52525.2021.00093⟩
ICTAI 2021: 33rd IEEE International Conference on Tools with Artificial Intelligence
ICTAI 2021: 33rd IEEE International Conference on Tools with Artificial Intelligence, Nov 2021, Washington D.C (virtual), United States. pp.582-589, ⟨10.1109/ICTAI52525.2021.00093⟩
International audience; Gradual itemsets model complex attributes covariations of the form the more or less is A, the more or less is B. Recently, such kind of itemsets has received great attention over the last years, and several proposals have been
Publikováno v:
Big Data Analytics and Knowledge Discovery: 23rd International Conference, DaWaK 2021, Virtual Event, September 27–30, 2021, Proceedings
DaWaK 2021: 23rd international conference on Big Data Analytics and Knowledge Discovery
DaWaK 2021: 23rd international conference on Big Data Analytics and Knowledge Discovery, Sep 2021, Linz (online), Austria. pp.250-256, ⟨10.1007/978-3-030-86534-4_24⟩
Big Data Analytics and Knowledge Discovery ISBN: 9783030865337
DaWaK
DaWaK 2021: 23rd international conference on Big Data Analytics and Knowledge Discovery
DaWaK 2021: 23rd international conference on Big Data Analytics and Knowledge Discovery, Sep 2021, Linz (online), Austria. pp.250-256, ⟨10.1007/978-3-030-86534-4_24⟩
Big Data Analytics and Knowledge Discovery ISBN: 9783030865337
DaWaK
International audience; The problem of mining high utility itemsets entails identifying a set of items that yield the highest utility values based on a given user utility threshold. In this paper, we utilize propositional satisfiability to model the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21ff5e4da02835d4ce03b8f14e365224
https://hal.archives-ouvertes.fr/hal-03466369
https://hal.archives-ouvertes.fr/hal-03466369
Publikováno v:
International Conference on Big Data Analytics and Knowledge Discovery
International Conference on Big Data Analytics and Knowledge Discovery, Sep 2020, Bratislava, Slovakia
Big Data Analytics and Knowledge Discovery ISBN: 9783030590642
DaWaK
International Conference on Big Data Analytics and Knowledge Discovery, Sep 2020, Bratislava, Slovakia
Big Data Analytics and Knowledge Discovery ISBN: 9783030590642
DaWaK
Mining high utility itemsets is a keystone in several data analysis tasks. High Utility Itemset Mining generalizes the frequent itemset mining problem by considering item quantities and weights. A high utility itemset is a set of items that appears i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bde8d0bf07fc46306732c3f0f82f145
https://hal.archives-ouvertes.fr/hal-03092027
https://hal.archives-ouvertes.fr/hal-03092027