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Now showing items 1-11 of 11
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Bayesian network structure learning based on pigeon inspired optimization
Kareem, S.W.; Okur, M.C. (International Journal of Advanced Trends in Computer Science and Engineering, 2019)Bayesian networks are useful analytical models for designing the structure of knowledge in machine learning. Probabilistic dependency relationships among the variables can be represented by Bayesian networks. One strategy ... -
Big data challenges in information engineering curriculum
Okur, M.C.; Buyukkececi, M. (Proceedings of the 25th International Conference on European Association for Education in Electrical and Information Engineering, EAEEIE 2014, 2014)The amount of accumulated data is growing at unprecedented rates. This data is mainly unstructured or semi structured and comes from different sources in a variety of forms. Recently, a range of supporting storage and ... -
Big Data Challenges in Information Engineering Curriculum
Okur, M.C.; Buyukkececi, M. (IEEE, 2014)The amount of accumulated data is growing at unprecedented rates. This data is mainly unstructured or semi structured and comes from different sources in a variety of forms. Recently, a range of supporting storage and ... -
Communications in Computer and Information Science: Preface
García-Barriocanal, E.; Cebeci, Z.; Okur, M.C.; Ozturk, A. (Communications in Computer and Information Science, 2011)[No abstract available] -
Computer-Based Assessment of Pre-assigned Individual Education Plans in Special Education
Sahin, Y.G.; Okur, M.C. (WORLD ACAD SCI, ENG & TECH-WASET, 2005)Assessment of IEP (Individual Education Plan) is an important stage in the area of special education. This paper deals with this problem by introducing computer software which process the data gathered from application of ... -
Metadata and semantic research: 5th international conference, MTSR 2011 Izmir, Turkey, October 12-14, 2011 proceedings
García-Barriocanal, E.; Cebeci, Z.; Okur, M.C.; Ozturk, A. (Communications in Computer and Information Science, 2011)[No abstract available] -
Pigeon Inspired Optimization of Bayesian Network Structure Learning and a Comparative Evaluation
Kareem, S.W.; Okur, M.C. (SEOUL NATL UNIV, INST COGNITIVE SCIENCE, 2019)Bayesian networks are useful analytical models for designing the structure of knowledge in machine learning. Probabilistic dependency relationships among the variables can be represented by Bayesian networks. One strategy ... -
Pigeon inspired optimization of bayesian network structure learning and a comparative evaluation
Kareem, S.W.; Okur, M.C. (Journal of Cognitive Science, 2019)Bayesian networks are useful analytical models for designing the structure of knowledge in machine learning. Probabilistic dependency relationships among the variables can be represented by Bayesian networks. One strategy ... -
Structure learning of Bayesian networks using elephant swarm water search algorithm
Kareem, S.W.; Okur, M.C. (International Journal of Swarm Intelligence Research, 2020)Bayesian networks are useful analytical models for designing the structure of knowledge in machine learning. Bayesian networks can represent probabilistic dependency relationships among the variables. One strategy of ... -
The Use of Information Technologies in Special Education for Preparation of Individual Education Programs
Sahin, Y.G.; Okur, M.C. (WORLD ACAD SCI, ENG & TECH-WASET, 2005)In this presentation, we discuss the use of information technologies in the area of special education for teaching individuals with learning disabilities. Application software which was developed for this purpose is used ... -
UML ile modellenen coʇrafi verilerin XSLT yardimiyla OWL'a dönüştürülmesi
Onel, S.; Komesli, M.; Okur, M.C. (CEUR Workshop Proceedings, 2014)[No abstract available]
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