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CDMA 2024 : 8th International Conference on Data Science and Machine Learning


When Nov 2, 2024 - Nov 4, 2024
Where Riyadh, Saudi Arabia
Submission Deadline Aug 1, 2024
Notification Due Sep 1, 2024
Final Version Due Sep 20, 2024
Categories    data science   big data   data analytics   computer vision

Call For Papers

CDMA2024 offers a unique opportunity and exchange platform to academic researchers and industry experts from a wide range of Data Science and Machine Learning areas including, but not restricted to, data analytics, computational intelligence, deep learning, pattern recognition, computer vision, multimedia/intelligent databases, big data, visualization, and related ethical issues.

Topic of Interests

Generative AI: Natural language processing (NLP), Arabic NLP, Language models, Large language models (LLMs), Text processing in LLMs, Development and deployment of LLM models, Applications of generative AI in computer vision.

Data Science: Methods for analyzing scientific and business data, Social network analysis, Recommender systems, Mining sequences, Time series analysis, Online advertising, Bioinformatics, System biology, Text/web analysis and mining, Mining temporal and spatial data, Multimedia processing.

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, Novel statistical techniques for big data

Data Analytics: Business Analytics, Credit scoring and financial modeling, Forecasting, Fraud detection, Web intelligence and information retrieval, Marketing, Business intelligence, 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

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