International Conference on Big Data-Driven Management and Applications ICBDDMA on April 15-16, 2023 in Cape Town, South Africa

Artificial Intelligence: Brain Models, Brain Mapping, Cognitive Science Natural Language Processing Fuzzy Logic and Soft Computing Expert Systems Decision Support Systems Automated Problem Solving Intelligent Information Systems Intelligent Data Mining and Farming Intelligent Web-Based Business Intelligent Networks Intelligent Databases Intelligent Tutoring Systems Distributed AI Algorithms and Techniques Distributed AI Systems and Architectures Neural Networks and Applications Heuristic Searching Methods Social Impact of AI Applications (including: computer vision, signal processing, military, surveillance, robotics, medicine, pattern recognition, face recognition, finger print recognition, finance and marketing, stock market, education, emerging applications...) Data Mining/Machine Learning: Statistical Learning Hierarchical Learning Models Relational Learning Models Bayesian Methods Meta Learning Heuristic Optimization Techniques Neural Networks Multi-Criteria Reinforcement Learning Markov chain Monte Carlo (MCMC) Methods Bayesian Networks Time Series Prediction Fuzzy Logic and Learning Inductive Learning and Applications Computational Intelligence Aspects of Natural Language Processing Segmentation/Clustering/Association Deviation and Outlier Detection Explorative and Visual Data Mining Web Mining Mining Text and Semi-Structured Data Multimedia Mining (Audio/Video) Artificial Neural Networks Legal and Social Aspects of Data Mining Data Cleaning and Preparation Missing Value Imputation Medicine Data Mining Business/Corporate/Industrial Data Mining Data Mining and National Security Clustering Algorithms used in Data Mining Automatic Data Cleaning Data Visualization Data Reduction Methods Pattern Mining Applications (examples: data mining in education, marketing, finance and financial services, business applications, medicine, bioinformatics, biological sciences, science and technology, industry and government...) </div>