001461946 000__ 07488cam\a22007217a\4500
001461946 001__ 1461946
001461946 003__ OCoLC
001461946 005__ 20230503003418.0
001461946 006__ m\\\\\o\\d\\\\\\\\
001461946 007__ cr\un\nnnunnun
001461946 008__ 230401s2023\\\\sz\\\\\\o\\\\\101\0\eng\d
001461946 019__ $$a1374242753
001461946 020__ $$a9783031283871$$q(electronic bk.)
001461946 020__ $$a3031283872$$q(electronic bk.)
001461946 020__ $$z9783031283864
001461946 020__ $$z3031283864
001461946 0247_ $$a10.1007/978-3-031-28387-1$$2doi
001461946 035__ $$aSP(OCoLC)1374428231
001461946 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX$$dOCLCF
001461946 049__ $$aISEA
001461946 050_4 $$aQA76.9.B45
001461946 08204 $$a005.7$$223/eng/20230407
001461946 1112_ $$aInternational Conference on Big Data and Internet of Things$$n(6th :$$d2022 :$$cTangier, Morocco)
001461946 24510 $$aProceedings of the 6th International Conference on Big Data and Internet of Things /$$cMohamed Lazaar, El Mokhtar En-Naimi, Abdelhamid Zouhair, Mohammed Al Achhab, Oussama Mahboub, editors.
001461946 260__ $$aCham :$$bSpringer,$$c2023.
001461946 300__ $$a1 online resource (607 p.).
001461946 4901_ $$aLecture Notes in Networks and Systems ;$$v625
001461946 500__ $$a2.1 Recommender System
001461946 500__ $$aIncludes author index.
001461946 5050_ $$aIntro -- Preface -- Contents -- Computational Intelligence & Big Data -- Construction of a Training Device in Pedagogical Engineering from the "My Scenari" Model -- 1 Theoretical and Conceptual Framework -- 1.1 Theoretical Frame -- 2 Results -- 3 Conclusion -- References -- Machine Learning-Based Intrusion Detection System: Review and Taxonomy -- 1 Introduction -- 2 General Concept of IDS -- 2.1 Intrusion Detection System (IDS) -- 2.2 Classification of Intrusion Detection System -- 3 Benchmark Datasets, Features Reduction, and Evaluation Metrics -- 3.1 Intrusion Detection Datasets
001461946 5058_ $$a3.2 Feature Selection -- 3.3 Evaluation Metrics -- 4 The ML-Based NIDS -- 4.1 Supervised Learning Methods -- 5 Discussion and Conclusion -- References -- Retrospective Study and Evaluation of School Failure (Junior High School) in Scientific Subjects -- 1 Introduction -- 2 Context -- 3 The School Body in the Province of Ouezzane in Morocco -- 4 Theoretical Framework -- 4.1 School Failure -- 5 Methods -- 5.1 Traget Audience -- 5.2 Origin of the Data -- 5.3 Statistical Analysis -- 6 Results and Interpretation: Exploratory Approach "Comparative Analysis"
001461946 5058_ $$a6.1 Learning Environment (Rural/urban) and Success Rate -- 6.2 The Effect of Learning Certain Science Subjects on Success Rates -- 6.3 Life and Earth Sciences -- 6.4 Physics Sciences -- 6.5 Mathematics -- 7 Recommendations and Proposals -- 8 Conclusion -- References -- The Use of "Mathematical Modeling" in Physics: Case of Representations and Teaching-Learning Practices -- 1 Introduction -- 2 Theoretical Framework -- 3 Research Methodology -- 4 Results and Discussions -- 4.1 Questionnaire 1 Addressed to Teachers -- 4.2 Questionnaire 2 (Addressed to Learners) -- 5 Conclusion -- References
001461946 5058_ $$aTowards Face-to-Face Smart Classroom that Adheres to Covid'19 Restrictions -- 1 Introduction -- 2 Related Works -- 3 The Proposed System -- 3.1 Dataset Description -- 3.2 Face Mask Detection Approach -- 3.3 Euclidean Distance -- 4 Experimental Results -- 4.1 Results of the Proposed Dataset -- 4.2 Results of Face Mask Detection Dataset -- 4.3 Comparison with Other Models -- 5 Conclusion -- References -- Supervised Machine Learning for Breast Cancer Risk Factors Analysis and Survival Prediction -- 1 Introduction -- 2 Artificial Intelligence in Epidemiology -- 3 Related Works -- 4 Methods
001461946 5058_ $$a4.1 K-Fold Cross Validation Strategy -- 4.2 Logistic Regression Classification -- 4.3 Support Vector Machines (SVM) Classification -- 4.4 Decision Tree Classification -- 4.5 Random Forest Classification -- 4.6 Extremely Randomized Trees Classification -- 4.7 K-Nearest Neighbor Classification -- 4.8 Adaptive Boosting Classification -- 5 Results -- 5.1 Data Description -- 5.2 Performance of the Proposed Methods -- 6 Conclusion and Recommendation -- References -- Applying Process Mining in Recommender System: A Comparative Study -- 1 Introduction -- 2 Background and Foundation
001461946 506__ $$aAccess limited to authorized users.
001461946 520__ $$aThis book is a collection of papers that were presented at the 6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022. The conference took place on October 25-27, 2022, Tangier, Morocco. The book consisted of 49 chapters, which correspond to the four major areas that are covered during the conference, namely Big Data & Cloud Computing, Cybersecurity, Machine Learning, Deep Learning, E-Learning, Internet of Things, Information System and Natural Language Processing. Every year BDIoT attracted researchers from all over the world, and this year was not an exception the authors received 98 submissions from 7 countries. More importantly, there were participants from many countries, which indicates that the conference is truly gaining more and more international recognition as it brought together a vast number of specialists who represented the aforementioned fields and share information about their newest projects. Since the authors strived to make the conference presentations and proceedings of the highest quality possible, the authors only accepted papers that presented the results of various investigations directed to the discovery of new scientic knowledge in the area of Big Data, IoT and their applications. All the papers were reviewed and selected by the Program Committee, which comprised 96 reviewers from over 58 academic institutions. As usual, each submission was reviewed following a double process by at least two reviewers. When necessary, some of the papers were reviewed by three or four reviewers. Authors deepest thanks and appreciation go to all the reviewers for devoting their precious time to produce truly through reviews and feedback to the authors.
001461946 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 7, 2023).
001461946 650_0 $$aBig data$$vCongresses.
001461946 650_0 $$aInternet of things$$vCongresses.
001461946 650_0 $$aMachine learning$$vCongresses.
001461946 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001461946 655_0 $$aElectronic books.
001461946 7001_ $$aLazaar, Mohamed.
001461946 7001_ $$aEn-Naimi, El Mokhtar.
001461946 7001_ $$aZouhair, Abdelhamid.
001461946 7001_ $$aAl Achhab, Mohammed.
001461946 7001_ $$aMahboub, Oussama.
001461946 77608 $$iPrint version:$$aLazaar, Mohamed$$tProceedings of the 6th International Conference on Big Data and Internet of Things$$dCham : Springer International Publishing AG,c2023$$z9783031283864
001461946 830_0 $$aLecture notes in networks and systems ;$$vv. 625.
001461946 852__ $$bebk
001461946 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28387-1$$zOnline Access$$91397441.1
001461946 909CO $$ooai:library.usi.edu:1461946$$pGLOBAL_SET
001461946 980__ $$aBIB
001461946 980__ $$aEBOOK
001461946 982__ $$aEbook
001461946 983__ $$aOnline
001461946 994__ $$a92$$bISE