Chapter Book

Cognitive Analytics: Concepts, Methodologies, Tools, and Applications,  “Two-Level Data Collection for an Energy-Efficient Solution in Wireless Sensor Networks: Multi-Agent System Approach”, Besma Benaziz, Okba Kazar, Laid Kahloul, Ilham Kitouni, Samir Bourekkache, (pages 194-213) Chapter 11, (4 Volumes) ; Information Resources Management Association (USA), Release Date: March, 2020|Copyright: © 2020 |Pages: 1961, ISBN13: 9781799824602|ISBN10: 1799824608|EISBN13: 9781799824619|DOI: 10.4018/978-1-7998-2460-2

Communications internationales

Samir Bourekkache, Okba Kazar, Mounia Abik, Samir Tigane and Laid Kahloul. Ontology basedapproach for representing the learner profile and learning style; The third international conference on intelligent computing in data sciences icds2019 october28-29-30,pp23-28, 2019, marrakech-morocco; http://www.researchnetwork.ma/icds2019/index.html, IEEE Catalog Number: CFP19T48-POD, ISBN (Print-On-Demand): 978-1-7281-0004-3, ISBN (Online): 978-1-7281-0003-6


Ghenabzia A., Kazar O., Merizig A., Sayah Z., Zoubeidi M. (2020) Drilling Stuck Pipe Prediction in Algerian Oil Fields: Time Series Forecasting Approach. In: Ezziyyani M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1104. Springer, Cham, Springer Nature Switzerland AG 2020, M. Ezziyyani (Ed.): AI2SD 2019, AISC 1104, pp. 262–275, 2020. https://doi.org/10.1007/978-3-030-36671-1_23


Ahmid, M., Kazar, O., Benharzallah, S., Kahloul, L., & Merizig, A. (2020, February). An Intelligent and Secure Health Monitoring System Based on Agent. In 2020 International Conference on Informatics, IoT, and Enabling Technologies (ICIoT' 2020) (pp. 291-296). IEEE.


Djihane Houfani, Sihem Slatnia, OkbaKazar, NoureddineZerhouni, AbdelhakMerizig, HamzaSaouli,  “Machine Learning Techniques for Breast Cancer Diagnosis : Literature Review”, The International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2019), 08-11 July 2019, Marrakech-Morocco, pp. 247–254. DOI: 0.1007/978-3-030-36664-3_28; https://link.springer.com/chapter/10.1007/978-3-030-36664-3_28;


Djihane Houfani, Sihem Slatnia, Okba Kazar, NoureddineZerhouni, IkramRemadna, HamzaSaouli, “A practical comparative study of machine learning algorithms for breast cancer diagnosis”, International congress on Health Sciences and Medical Technologies, Tlemcen, Algeria 5-7 December 2019; https://doi.org/10.26415/978-9931-9446-2-1


Lyna Miloudi, Khaled Rezeg, Okba Kazar,and Mohamed Kotoub Miloudi, « Smart Sustainable Farming Management Using Integrated Approach of IoT, Blockchain & Geospatial Technologies », Springer Nature Switzerland AG 2020, M. Ezziyyani (Ed.): AI2SD 2019, AISC 1103, pp. 340–347, 2020. https://doi.org/10.1007/978-3-030-36664-3_38


Publications dans des revues internationales

Mouadh Bali,  Abdelkamel Tari,  Abdallah Almutawakel and Okba Kazar, «  Smart Design for Resources Allocation in IoT Application Service Based on Multi-agent System and DCSP »,  https://doi.org/10.31449/inf.v44i3.2962,  Informatica, pp. 373–386,Vol 44, No 3 (2020)


Wided Ali, Okba Kazar, “A new agent based load balancing model for improving the grid performance”, DOI: 10.3233/MGS-200326, journal: Multiagent and Grid Systems, vol. 16, no. 2, pp. 153-170, 2020


WIDED, Ali; OKBA, Kazar; FATIMA, Bouakkaz. Load balancing with Job Migration Algorithm for improving performance on grid computing: Experimental Results. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Salamanca, v. 8, n. 4, p. 5-18, feb. 2020. ISSN 2255-2863. Available at: <https://revistas.usal.es/index.php/2255-2863/article/view/ADCAIJ201984518>. Date accessed: 20 Jun. 2020. doi:10.14201/ADCAIJ201984518.


Naoui, M., Lejdel, B., Ayad, M., Amamra, A. and kazar, O. (2020), "Using a distributed deep learning algorithm for analyzing big data in smart cities", Smart and Sustainable Built Environment, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/SASBE-04-2019-0040


Nadia Ben Seghier; Okba Kazar, « Mobile agent and ontology approach for web service discovery using QoS », International Journal of Reasoning-based Intelligent Systems, 2020 Vol.12 No.1, pp.17 – 33 ;  DOI: 10.1504/IJRIS.2020.105003 ; https://www.inderscience.com/info/inarticle.php?artid=105003


Merouane Zoubeidi; Okba Kazar; Saber Benharzallah; Nadjib Mesbahi; Abdelhak Merizig; Djamil Rezki, A new approach agent-based for distributing association rules by business to improve decision process in ERP systems, DOI: 10.1504/IJIDS.2020.104993; International Journal of Information and Decision Sciences, 2020 Vol.12 No.1, pp.1 – 35; https://www.inderscience.com/info/inarticle.php?artid=104993


Sayah zaoui; kazar okba; Lejdel Brahim; Laouid Abdelkader ; ghenabzia Ahmed, “An Intelligent System for Energy Management in Smart Cities based on Big Data and Ontology” ; DOI (10.1108/SASBE-07-2019-0087) ;  Smart and Sustainable Built Environment ; https://www.emeraldgrouppublishing.com/sasbe.htm, 2020 ; ISSN: 2046-6099


Zaoui Sayah, Okba Kazar and Ahmed Ghenabzia ; Semantic Integration in Big Data: State-of-the-Art ; Journal of Mobile Multimedia, Vol. 15_3, 191–238. doi: 10.13052/jmm1550-4646.1533, c2020 River Publishers; https://journals.riverpublishers.com/index.php/JMM/index; ISSN: 1550-4646 (Print Version)
ISSN: 1550-4654 (Online Version)


Samir Bourekkache, OkbaKazar, “Mobile and Adaptive Learning Application for English Language Learning”, International Journal of Information and Communication Technology Education (IJICTE), Volume 16, Issue 2, 2020, pages 36-46. ISSN: 1550-1876|EISSN: 1550-1337|EISBN13: 9781799803485|DOI: 10.4018/IJICTE.2020040103, https://www.igi-global.com/gateway/article/247080#pnlRecommendationForm


Samir Bourekkache; Okba Kazar; Mounia Abik, « Multi-agent approach for collaborative authoring and indexing of pedagogical materials », DOI: 10.1504/IJCEELL.2020.108527, International Journal of Continuing Engineering Education and Life-Long Learning, 2020 Vol.30 No.3, pp.255 - 275


Wedjdane Nahili, Khaled Rezeg, Okba Kazar, "Big Data Analytics using Supervised Learning: A Comprehensive Review of Recent Techniques", Volume 8, Issue I, 2020 ; International Journal for Research in Applied Science and Engineering Technology (IJRASET) Page No: 305-312, ISSN : 2321-9653, www.ijraset.com, http://doi.org/10.22214/ijraset.2020.1056


Ahmed Ghenabzia, Okba Kazar, Abdelhak Merizig, Zaoui Sayah, Merouane Zoubeidi; «  Multi-Agent approach for data mining based Bagging Ensembles to improve the decision process for Big Data » ;  International Journal of Information and Communication Technology ; ISSN online 1741-8070 ; ISSN print 1466-6642 ; DOI: 10.1504/IJICT.2020.10031572  (in press). Retrievedfrom https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijict,


Aloui, A., Kazar, O., Bourekkache, S. et al. An Efficient Approach for Privacy-Preserving of the Client’s Location and Query in M-Business Supplying LBS Services. Int J Wireless Inf Networks (2020). https://doi.org/10.1007/s10776-020-00478-4; https://link.springer.com/article/10.1007/s10776-020-00478-4