{"id":144,"date":"2025-11-19T23:28:02","date_gmt":"2025-11-19T22:28:02","guid":{"rendered":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/?page_id=144"},"modified":"2025-12-09T08:39:22","modified_gmt":"2025-12-09T07:39:22","slug":"dmvs-datamining-machine-learning-vision-simulation","status":"publish","type":"page","link":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/dmvs-datamining-machine-learning-vision-simulation\/","title":{"rendered":"DMVS – Datamining, Machine learning, Vision, Simulation"},"content":{"rendered":"\n

\u00c9quipe DMVS : D<\/strong>atamining, M<\/strong>achine learning, V<\/strong>ision, S<\/strong>imulation<\/strong><\/h1>\n\n\n\n

Responsable<\/strong> : Baroudi Rouba<\/h3>\n\n\n\n
<\/div><\/div>\n\n\n\n

[Pr\u00e9sentation<\/a>] \u2022 [Membres<\/a>] \u2022  [Publications<\/a>]   <\/strong><\/h2>\n\n\n\n

Pr\u00e9sentation de l’\u00e9quipe<\/h1>\n\n\n\n

Fondement scientifique<\/h2>\n\n\n\n

Les travaux de recherche de l\u2019\u00e9quipe DMVS sont appliqu\u00e9s dans diff\u00e9rents domaines, plus particuli\u00e8rement : la sant\u00e9, les syst\u00e8mes d\u2019information g\u00e9ographique ainsi qu\u2019\u00e0 la s\u00e9curit\u00e9 informatique. Dans le domaine de la sant\u00e9, l’\u00e9quipe s’int\u00e9resse au traitement des images m\u00e9dicales et au d\u00e9veloppement de mod\u00e8les de simulation pour le suivi \u00e9pid\u00e9miologique. Dans le domaine de l’urbanisme, l\u2019\u00e9quipe s\u2019int\u00e9resse aux syst\u00e8mes d’information g\u00e9ographique, et apporte dans ce contexte des solutions pour les probl\u00e8mes de gestion de trafic et de suivi de l\u2019\u00e9tat d\u2019avancement des programmes de construction de logements. Dans le domaine de la s\u00e9curit\u00e9 de l’information, l’\u00e9quipe s’int\u00e9resse aux techniques de cryptographie, \u00e0 la gestion d\u2019acc\u00e8s dans les portails et les plateformes professionnels ainsi qu’\u00e0 la reconnaissance et l\u2019identification faciale \u00e0 travers des images et\/ou vid\u00e9o. Dans le domaine de la s\u00e9curit\u00e9 routi\u00e8re, l\u2019\u00e9quipe contribue au d\u00e9veloppement et \u00e0 l’am\u00e9lioration des syst\u00e8mes de vision d\u2019aide \u00e0 la conduite.<\/span><\/p>\n\n\n\n

Objectifs<\/h2>\n\n\n\n

Les travaux de recherche de l\u2019\u00e9quipe DMVS portent sur la mise en place des nouvelles approches et techniques de data mining et de machine learning pour la prise de d\u00e9cision. Les donn\u00e9es trait\u00e9es par l\u2019\u00e9quipe sont de natures diff\u00e9rentes. Il s\u2019agit des bases de donn\u00e9es classiques, des images, des vid\u00e9os ou m\u00eame des donn\u00e9es complexes \u00e0 caract\u00e8re spatial ou spatiotemporel. Dans ce contexte, les recherches de l\u2019\u00e9quipe DMVS sont structur\u00e9es autour des trois th\u00e8mes :<\/span><\/p>\n\n\n\n

    \n
  • Le d\u00e9veloppement de m\u00e9thodes de clustering sur des donn\u00e9es de nature h\u00e9t\u00e9rog\u00e8nes : classique, multicrit\u00e8res, spatial et spatiotemporel.<\/span><\/li>\n<\/ul>\n\n\n\n
      \n
    • L’optimisation des mod\u00e8les simulables \u00e0 travers le d\u00e9veloppement des approches hybrides combinant des m\u00e9thodes de mod\u00e9lisation et d\u2019apprentissage machine.<\/span><\/li>\n<\/ul>\n\n\n\n
        \n
      • La mise en place des m\u00e9thodes d\u2019apprentissage automatique, dans un contexte de vision notamment.<\/span><\/li>\n<\/ul>\n\n\n\n

        <\/p>\n\n\n\n

        Mots cl\u00e9s<\/h2>\n\n\n\n

        Classification, Clustering, Aide \u00e0 la d\u00e9cision multicrit\u00e8res, Mod\u00e9lisation, Simulation, Cryptographie, SIG, Visualisation de donn\u00e9es (spatiales et spatiotemporelles), traitement d\u2019image, vision.<\/span><\/p>\n\n\n\n

        Membres de l’\u00e9quipe<\/h1>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
        Nom<\/strong><\/span><\/td>\nPr\u00e9nom<\/strong><\/span><\/td>\nStatut<\/strong><\/span><\/td>\n\u00c9tablissement<\/strong><\/span><\/td>\n<\/tr>\n
        Rouba<\/span><\/td>\nBaroudi<\/span><\/td>\nMaitre de conf\u00e9rence A<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Moumene<\/span><\/td>\nMohammed Elamine<\/span><\/td>\nMaitre de conf\u00e9rence A<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Bentaouza<\/span><\/td>\nChahinez<\/span><\/td>\nMaitre de conf\u00e9rence B<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Bouattou<\/span><\/td>\nZina<\/span><\/td>\n Ma\u00eetre de conf\u00e9rence B – Associ\u00e9e<\/span><\/td>\n\n
        UMAB <\/span><\/div>\n<\/td>\n<\/tr>\n
        Achir<\/span><\/td>\nToufik<\/span><\/td>\nDoctorant – soutenu 2025<\/span><\/td>\n\n
        UMAB<\/span><\/div>\n<\/td>\n<\/tr>\n
        Ait Aoudia<\/span><\/td>\nAmar<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Ben Ahmed<\/span><\/td>\nDaho Asmaa<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Gorine<\/span><\/td>\nNour El Houda<\/span><\/td>\nDoctorante<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
         <\/td>\n <\/td>\n <\/td>\n <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n

        <\/p>\n\n\n\n

        Publications<\/h1>\n\n\n\n

        Publication dans des revues internationales<\/h2>\n\n\n\n
          \n
        • Toufik Achir, Baroudi Rouba \u00ab\u00a0A Novel Weighted Preference Relation Approach to Detect Outliers in Multi-Criteria Decision Aid Context\u00a0\u00bb, Foundations of Computing and Decision Sciences 50(2):117-156, June 2025 https:\/\/reference-global.com\/article\/10.2478\/fcds-2025-0005?utm_source=researchgate.net&medium=article<\/li>\n
        • Chahinez M\u00e9ri\u00e8m Bentaouza. Improving the Detection of Mask Wearing Mistakes by Deep Learning, Journal of Computer Science, 20 (7), 751-757, 2024. https:\/\/thescipub.com\/abstract\/10.3844\/jcssp.2024.751.757<\/li>\n
        • Mohamed Moumene, K Benkedadra, FZ Berras. Real Time Skin Color Detection Based on Adaptive HSV Thresholding. Journal of Mobile Multimedia 18 (6), 1617-1632. 2022.<\/li>\n
        • Baroudi ROUBA \u00ab A Net-flow based approach to detect outliers in multicriteria decision problems \u00bb. Intelligent Decision Technologies (idt). Vol 15 N\u00b02, 2021, pp.239\u2013250 https:\/\/content.iospress.com\/articles\/intelligent-decision-technologies\/idt200046<\/li>\n
        • Mohamed Moumene, M Benkedadra. Enhanced Road Lane Detection Facing Sun Glare. Journal of Mobile Multimedia 17 (4), 773-788. 2021.<\/li>\n
        • Mohamed Moumene. Efficient Traffic Sign Detection Based on High Dynamic Range Preprocessing Module. WAS Science Nature (WASSN) ISSN: 2766-7715 4 (1). 2021.<\/li>\n
        • M Laredj, B Rouba, C Duvalet \u00abMulti-criteria Decision Aid for Group Facilitator ELECTION: Application to a Collaborative e-Maintenance Process \u00bb. International Journal of Decision Support System Technology (IJDSST). Vol 11, N\u00b01, 2019, pp93-102. https:\/\/www.igi-global.com\/article\/multi-criteria-decision-aid-for-group-facilitator-election\/216943<\/li>\n
        • B Rouba, S Nait Bahloul \u00abTowards Identifying Multicriteria Outliers: An Outranking Relation-Based Approach\u00bb. International Journal of Decision Support System Technology (IJDSST). Vol 10, N\u00b03, 2018, pp.27-38. https:\/\/www.igi-global.com\/article\/towards-identifying-multicriteria-outliers\/205660<\/li>\n
        • Bouattou, Zina, Hafida Belbachir, and Robert Laurini. \u00ab\u00a0Multi-agent system approach for improved real-time visual summaries of geographical data streams.\u00a0\u00bb International Journal of Intelligent Systems Technologies and Applications 17.3 (2018): 255-271.<\/li>\n
        • Chahinez Meriem Bentaouza , Mohamed Benyettou. Support Vector Machine Applied to Compress Medical Image, Journal of Computers 13 (5) 580-587, 2018. https:\/\/dblp.org\/db\/journals\/jcp\/jcp13<\/li>\n
        • B Rouba, S Nait Bahloul \u00abWeighted clustering ensemble: Towards learning the weights of the base clusterings\u00bb. Multiagent and Grid Systems \u2013 An International Journal. Vol 13, N\u00b04, 2017, pp421\u2013431. https:\/\/content.iospress.com\/articles\/multiagent-and-grid-systems\/mgs278<\/li>\n
        • Bouattou, Zina, Robert Laurini, and Hafida Belbachir. \u00ab\u00a0Animated chorem-based summaries of geographic data streams from sensors in real time.\u00a0\u00bb Journal of Visual Languages & Computing, 41 (2017): 54-69.<\/li>\n
        • Chahinez Meriem Bentaouza , Mohamed Benyettou. Support Vector Machines for Microscopic Medical Images Compression, Pakistan Journal of Biological Sciences 17, 335-345, 2014. https:\/\/pubmed.ncbi.nlm.nih.gov\/24897787<\/li>\n
        • Chahinez Meriem Bentaouza , Mohamed Benyettou. Support Vector Machines for Brain Tumours Cells Classification, Journal of Applied Sciences 10 .2010 ,1755-1761 ,(16) https:\/\/scialert.net\/abstract\/?doi=jas.2010.1755.1761<\/li>\n<\/ul>\n\n\n\n

          <\/p>\n\n\n\n

          Publications dans des conf\u00e9rences internationales<\/h2>\n\n\n\n
            \n
          • Zina Bouattou, Robert Laurini (2025), Intelligent Chorems: Towards AI-Augmented Predictive Mapping, 31st DMSVIVA Conference, At: Pompeii, Italy, 1-6<\/li>\n
          • Chahinez M\u00e9ri\u00e8m Bentaouza. Blockchain Limitations in Secure Storage and Transfer of Electronic Health Records, 13th International Conference on Information Systems and Advanced Technologies \u201cICISAT 2023\u201d. Hammamet, Tunisia, December 2023. https:\/\/www.amazon.fr\/International-Conference-Information-Advanced- Technologies\/dp\/303160590X Lecture Notes in Networks and Systems, vol 981, 207-212, 28 August 2024. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-60591-8_17<\/li>\n
          • Chahinez M\u00e9ri\u00e8m Bentaouza. Support Vector Machines for Facial Expression Recognition, International Conference on Science, Engineering & Technology (ICSET 2019), 12th – 13th February 2019, Paris, France.<\/li>\n
          • Chahinez Meriem Bentaouza , Mohamed Benyettou. Bentaouza Constitution of the Medical Image Compressed Using Support Vectors, 6th International Conference on Computer, Control, Communication and Manufacturing Engineering (CCCME-17), December 7-8, 2017, Paris, France. https:\/\/erpub.org\/siteadmin\/upload\/2572ER1217415.pdf<\/li>\n
          • Chahinez Meriem Bentaouza , Mohamed Benyettou. Support Vector Machine Applied to Compress Medical Image, 9th International Conference on Computer and Electrical Engineering (ICCEE 2016), December 7-11, 2016, Barcelona, Spain.<\/li>\n<\/ul>\n\n\n\n

            <\/p>\n\n\n\n

            Publications dans des conf\u00e9rences nationales<\/h2>\n\n\n\n
              \n
            • Toufik Achir, Baroudi Rouba Towards identifying multicriteria outliers: An approach based on PROMETHEE \u03b3 and DBSCAN algorithm, CSNT 2024 Computer Science and New Technologies Workshop, Mostaganem, Algeria<\/li>\n
            • Toufik ACHIR, Baroudi ROUBA, Mohamed MIDOUN \u00ab A novel approach to detect outliers in MCDA problems \u00bb. Proceedings of Scientific Workshop On Preliminary Research Work in Computer Science In 7th International Symposium on Modelling and Implementation of Complex Systems MISC 2022. Mostaganem, Alg\u00e9rie, 30-31 Octobre 2022. https:\/\/misc2022.misc-lab.org\/workshop-proceedings.php<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

              \u00c9quipe DMVS : Datamining, Machine learning, Vision, Simulation Responsable : Baroudi Rouba [Pr\u00e9sentation] \u2022 [Membres] \u2022  [Publications]    Pr\u00e9sentation de<\/p>\n","protected":false},"author":12,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"colormag_page_container_layout":"default_layout","colormag_page_sidebar_layout":"default_layout","_eb_attr":"","_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"class_list":["post-144","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/wp-json\/wp\/v2\/pages\/144","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/wp-json\/wp\/v2\/comments?post=144"}],"version-history":[{"count":13,"href":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/wp-json\/wp\/v2\/pages\/144\/revisions"}],"predecessor-version":[{"id":548,"href":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/wp-json\/wp\/v2\/pages\/144\/revisions\/548"}],"wp:attachment":[{"href":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/wp-json\/wp\/v2\/media?parent=144"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}