Výsledky vyhledávání - "Fatima-Zahra El Mazouri"

Akademický článek

Data mining combined to the multicriteria decision analysis for the improvement of road safety: case of France

Autor: Fatima Zahra El Mazouri, Mohammed Chaouki Abounaima, Khalid Zenkouar

Publikováno v: Journal of Big Data, Vol 6, Iss 1, Pp 1-30 (2019)

Abstract Introduction The problem studied in this paper is the road insecurity, which is manifested by the big number of injuries and deaths recorded annually around the world. These victims of road accidents worry the whole community, hence the duty

Externí odkaz: https://doaj.org/article/d6a3ead098ac4d759125ce8055e42d34

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MCDM Filter with Pareto Parallel Implementation in Shared Memory Environment

Autor: Loubna Lamrini, Mohammed Chaouki Abounaima, null Fatima Zahra El Mazouri, null Mohammed Ouzarf, null Mohammed TALIBI ALAOUI

Publikováno v: Statistics, Optimization & Information Computing. 10:192-203

Nowadays, multi-criteria decision-making (MCDM) methods are often used to solve problems involving large data sets, especially with the advent of the big data age. In such a context, the multi-criteria decision-making methods theoretically can be use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5e7912ac9e1ba21946b102695a3b4751
https://doi.org/10.19139/soic-2310-5070-1216

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Extension of the ELECTRE III Method to the Case of Uncertain Preferences: Application to an Example of the Environmental Management Problem

Autor: Mohammed Chaouki ABOUNAIMA, Fatima-zahra El MAZOURI, Loubna LAMRINI, Mohamed OUZARF, Mohammed Chaouk TALIBI ALAOUI

Publikováno v: Statistics, Optimization & Information Computing. 10:171-191

Almost all the decision problems are by nature multi-criteria, where multiple and conflflicting criteria must be considered in the decision-making process. For some cases of these decision problems, they are further marked by a lack of certainty and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fbd3d6daae79117860c413197727ef51
https://doi.org/10.19139/soic-2310-5070-1194

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Fuzzy Set Theory-Based Approach for Mining Spatial Association Rules: Road Accident as a Case Study

Autor: Addi Ait-Mlouk, Mohamed Ait-Mlouk, Fatima-Zahra El Mazouri, Arindam Dey, Tarik Agouti

Publikováno v: AI and IoT for Sustainable Development in Emerging Countries
AI and IoT for Sustainable Development in Emerging Countries, 105, Springer International Publishing, pp.353-370, 2022, Lecture Notes on Data Engineering and Communications Technologies, ⟨10.1007/978-3-030-90618-4_17⟩
AI and IoT for Sustainable Development in Emerging Countries ISBN: 9783030906177

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88ba6faff8a32cc76eea7201b9aa873b
https://hal.science/hal-03577096

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New Metrics to Measure the Quality of the Ranking Results Obtained by the Multi-criteria Decision-Making Methods

Autor: Loubna Lamrini, Mohamed Ouzarf, Mohammed Chaouki Abounaima, Noureddine El Makhfi, Mohammed Talibi Alaoui, Fatima Zahra El Mazouri

Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789813368927

Nowadays, there is a panoply of multi-criteria decision-making methods which are proposed in the literature to solve the ranking problematic, where each method has its resolution process and has its drawbacks and advantages. These methods aim to rank

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c0315af15425ea29d7e91a52827f792
https://doi.org/10.1007/978-981-33-6893-4_3

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A Filtering approach used in a massive data context to reduce the set of choices in a multicriteria decision aid process: Pareto solutions

Autor: Mohammed Chaouki Abounaima, Mohammed Talibi Alaoui, Fatima Zahra El Mazouri, Noureddine El Makhfi, Mohamed Ouzarf, Loubna Lamrini

Publikováno v: ICECOCS

The purpose of this paper is to propose a solution to reduce the number of candidate alternatives in a Multi-Criteria Decision-Making problem. The majority of Multi-Criteria Decision-Making methods suppose a limited number of alternatives, whereas, i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5f495e1ccb54ee03216c1519d22528a7
https://doi.org/10.1109/icecocs50124.2020.9314445

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Breaking Symmetries in Association Rules

Autor: Lakhdar Sais, Badran Raddaoui, Khalid Zenkouar, Mohammed Chaouki Abounaima, Fatima-Zahra El Mazouri, Said Jabbour

Publikováno v: Procedia Computer Science. 148:283-290

In this paper, we propose an extension of the framework proposed in [1] for breaking symmetries in association rules problems. Symmetries are defined as permutations between items that leave invariant the set of the transactions. Such kind of structu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6b299d40f6314fa89f7f67f5489ea4e7
https://doi.org/10.1016/j.procs.2019.01.052

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The Pearson Correlation Coefficient Applied to Compare Multi-Criteria Methods: Case the Ranking Problematic

Autor: Fatima Zahra El Mazouri, Mohamed Ouzarf, Noureddine El Makhfi, Loubna Lamrini, Najib Nfissi, Mohammed Chaouki Abounaima

Publikováno v: 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET).

The original contribution of this work consists to use the correlation measurement, known in the literature as the Pearson correlation coefficient. This measure will be deployed to compare the aggregation results obtained by different multicriteria a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee4f2689517eacf9283dae56f763d727
https://doi.org/10.1109/iraset48871.2020.9092242

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Data mining for road accident analysis in a big data context

Autor: Mohammed Chaouki Abounaima, Fatima Zahra El Mazouri, Khalid Zenkouar, Said Najah

Publikováno v: Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofaïl University -Kénitra- Morocco.

Data Mining techniques and extracting association rules from a big dataset play an interesting role in knowledge discovery. Therefore, the decision makers encounter a huge number of resulting association rules that can make them unable to choose and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b641d6f540d16d2d283654d6e33b0b4
https://doi.org/10.4108/eai.24-4-2019.2284124

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A Selection of Useful Patterns Based on Multi-Criteria Analysis Approach

Autor: Mohammed Chaouki Abounaima, Fatima Zahra El Mazouri, Khalid Zenkouar

Publikováno v: Proceedings of the 2nd International Conference on Computing and Wireless Communication Systems.

Pattern discovery is one of the most important tasks in data mining, many works are developed in this context where we can notice the problem of 'pattern explosion' which make taking a decision about useful pattern more difficult. the goal of our stu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e87f8e07e3b4da275346c17f2b9a7f43
https://doi.org/10.1145/3167486.3167517

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