7th IEEE Conference on Data Science and Machine Learning Applications
CDMA 2022
- URL: https://www.ieeepsu.org/cdma/
- Event Date: 2022-03-01 ~ 2022-03-03
- Submission Date: 2021-11-01
- Location: Riyadh, Saudi Arabia
The 7th IEEE International Conference on Data Science and Machine Learning Applications (CDMA 2022) will be held in Prince Sultan University, Riyadh, Saudi Arabia, on March 01-03, 2022. CDMA Conference is the region largest and most comprehensive technical conference focused on data science, machine learning and artificial intelligence.
CDMA2022 topics include, but are not limited to:
• Applications of Data Science: Applications of data science in domains including Parallel and advanced Databases, Social Networks, Web, Bioinformatics, Finance, Healthcare, Security etc.
• Big Data: Distributed data mining and machine learning platforms and algorithms, systems for large-scale data analytics of textual and graph data, large-scale machine learning systems, distributed computing (cloud, map-reduce, MPI), large-scale optimization, and novel statistical techniques for big data.
• Data Science: Methods for analyzing scientific and business data, social network analysis, recommender systems, mining sequences, time series analysis, online advertising, bioinformatics, systems biology, text/web analysis, mining temporal and spatial data, and multimedia processing.
• Data Analytics: Business analytics, Credit Scoring and Financial Modeling, Forecasting, Fraud Detection, Web Intelligence and Information Retrieval, Marketing, Business Intelligence, and e-Commerce, Decision Analysis and Decision Support Systems.
• Computer Vision and Machine Learning Applications in Healthcare: COVID-19 and medical imaging, breast cancer detection, brain tumor analysis, etc
CDMA2022 topics include, but are not limited to:
• Applications of Data Science: Applications of data science in domains including Parallel and advanced Databases, Social Networks, Web, Bioinformatics, Finance, Healthcare, Security etc.
• Big Data: Distributed data mining and machine learning platforms and algorithms, systems for large-scale data analytics of textual and graph data, large-scale machine learning systems, distributed computing (cloud, map-reduce, MPI), large-scale optimization, and novel statistical techniques for big data.
• Data Science: Methods for analyzing scientific and business data, social network analysis, recommender systems, mining sequences, time series analysis, online advertising, bioinformatics, systems biology, text/web analysis, mining temporal and spatial data, and multimedia processing.
• Data Analytics: Business analytics, Credit Scoring and Financial Modeling, Forecasting, Fraud Detection, Web Intelligence and Information Retrieval, Marketing, Business Intelligence, and e-Commerce, Decision Analysis and Decision Support Systems.
• Computer Vision and Machine Learning Applications in Healthcare: COVID-19 and medical imaging, breast cancer detection, brain tumor analysis, etc
Journal Promotion
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| Acta Koreana (Acta Koreana) |
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| Acta Via Serica (AVS) |
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| Computers and Concrete (CAC) |
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| Journal of Information Processing Systems (JIPS) |
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| Journal of Internet Computing and Services (KSII - JICS) |
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| Journal of Smart Tourism (Smart Tourism) |
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| Membrane and Water Treatment (MWT) |
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| Wind and Structures, An International Journal (Wind and Structures) |
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