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Feature Selection That Defines the Performance of University Students in the Use of LMS Platforms Applying Machine Learning Algorithms
Robayo-Botiva, Diana Maria ; Urbina-Najera, Argelia B.
2024 IEEE Biennial Congress of Argentina (ARGENCON) Biennial Congress of Argentina (ARGENCON), 2024 IEEE. :1-8 Sep, 2024
TempXAI: Explainable AI for Time Series and Data Streams 2024 : Proceedings of the Workshop on Explainable AI for Time Series and Data Streams (TempXAI 2024) co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024)
Abdallah, Zahraa ; Fumagalli, Fabian ; Hammer, Barbara ; et al.
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track : European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part IX
Bifet, Albert ; Krilavičius, Tomas ; Miliou, Ioanna ; et al.
Artificial Intelligence based Model Using Various Machine Learning Techniques to detect DDoS Attack
Singh, Ravinder ; Kumar, Mukesh ; Sharma, Shavnam ; et al.
2023 6th International Conference on Information Systems and Computer Networks (ISCON) Information Systems and Computer Networks (ISCON), 2023 6th International Conference on. :1-5 Mar, 2023
Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process
Molina-Coronado, Borja ; Mori, Usue ; Mendiburu, Alexander ; et al.
Visualization support for user-centered model selection in knowledge discovery in databases
Tu Bao Ho ; Trong Dung Nguyen
Proceedings 13th IEEE International Conference on Tools with Artificial Intelligence. ICTAI 2001 Tools with artificial intelligence Tools with Artificial Intelligence, Proceedings of the 13th International Conference on. :228-235 2001
Correction to: Machine Learning and Knowledge Discovery in Databases
Bifet, Albert ; Daniušis, Povilas ; Davis, Jesse ; et al.
Lecture Notes in Computer Science ; Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track ; page C1-C2 ; ISSN 0302-9743 1611-3349 ; ISBN 9783031703706 9783031703713
Optimizations of Database Management Systems for Real Time IoT Edge Applications
Pupezescu, Valentin ; Pupezescu, Marilena-Catalina ; Perisoara, Lucian-Andrei
2022 23rd International Carpathian Control Conference (ICCC) Carpathian Control Conference (ICCC), 2022 23rd International. :171-176 May, 2022
Agricultural Crop Recommendations Based on Productivity and Season
A, Anandaraj ; P, Ram Deepak ; R, Rahul Raj ; et al.
2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS) Advanced Computing and Communication Systems (ICACCS), 2024 10th International Conference on. 1:1827-1831 Mar, 2024
A knowledge discovery in databases approach for industrial microgrid planning
Gamarra, Carlos ; Guerrero, Josep M. ; Montero, Eduardo
In Renewable and Sustainable Energy Reviews July 2016 60:615-630
Volume 141: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 14 September 2020, Virtual Conference
Bischl, B. ; Guhr, O. ; Seibold, H. ; et al.
Performance evaluation of attribute-oriented algorithms for knowledge discovery from databases
Carter, C.L. ; Hamilton, H.J.
Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence Tools with artificial intelligence Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on. :486-489 1995
Predicting Academic Performance in Psychology Students from Their Social Skills Using Classification Algorithms
Espinosa-Pinos, Carlos Alberto ; Vasco-Alvarez, Monica Maribel ; Cisneros-Bedon, Jorge Luis ; et al.
2023 IEEE Seventh Ecuador Technical Chapters Meeting (ECTM) Technical Chapters Meeting (ECTM), 2023 IEEE Seventh Ecuador. :1-6 Oct, 2023
Author Privacy, Data Fabrication, and Knowledge Discovery in Databases
Lwin, M.O. ; King, R.D. ; Williams, J.D.
2006 Innovations in Information Technology Innovations in Information Technology, 2006. :1-5 Nov, 2006
Systems for knowledge discovery in databases
Matheus, C.J. ; Chan, P.K. ; Piatetsky-Shapiro, G.
IEEE Transactions on Knowledge and Data Engineering IEEE Trans. Knowl. Data Eng. Knowledge and Data Engineering, IEEE Transactions on. 5(6):903-913 Dec, 1993
A data-driven methodology for monitoring Total Quality Management (TQM) systems in the Industry 4.0 era
Barragán, Carlos Zurrón ; Urraca, Ruben ; Sanz-Garcia, Andres
In Computers & Industrial Engineering December 2025 210
Obesity Biomarkers: Exploring Factors, Ramification, Machine Learning, and AI‐Unveiling Insights in Health Research
Ankita Awari ; Deepika Kaushik ; Ashwani Kumar ; et al.
MedComm, Vol 6, Iss 7, Pp n/a-n/a (2025)
Machine Learning with Symbolic Methods and Knowledge Graphs:co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021) : Virtual, September 17, 2021
Alam, M. ; Ali, M. ; Groth, P. ; et al.
Alam, M, Ali, M, Groth, P, Hitzler, P, Lehmann, J, Paulheim, H, Rettinger, A, Sack, H, Sadeghi, A & Tresp, V (eds) 2021, Machine Learning with Symbolic Methods and Knowledge Graphs : co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021) : Virtual, September 17, 2021. CEUR Workshop Proceedings, vol. 2997, Aachen. < http://ceur-ws.org/Vol-2997 >
From machine learning to knowledge discovery: Survey of preprocessing and postprocessing.
Ivan Bruha
Intelligent Data Analysis. 2000, Vol. 4 Issue 3/4, p363. 12p.
Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021)
Alam, Mehwish ; Ali, Mehdi ; Groth, Paul ; et al.
ISSN: 1613-0073.
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