Business Intelligence: 7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022, Proceedings (Paperback)

Decision Support and Artificial Intelligence.- Optimization Focused On Parallel Fuzzy Deep Belief Neural Network For Opinion Mining.- A Convolutional Neural Networks-Based Approach For Potato Disease Classification.- Performance Investigation of a Proposed CBIR Search Engine Using Deep Convolu-tional Neural Networks.- Decision Boundary to improve the sensitivity of deep neural networks models. - Facial Expression Recognition Using a Hybrid ViT-CNN Aggregator.- Machine Learning Approach to Automate Decision Support on Information System Attacks.- Deep Reinforcement Learning for Bitcoin Trading.- An exploration of student grade retention prediction using machine learning algorithms.- Deep Learning Model For Educational Recommender Systems.- Comparative Study of Deep Learning Models for detection and classification of intracranial hemorrhage.- Business Intelligence and Database.- Increasing Student Engagement in Lessons and Assessing MOOC Participants Through Artificial Intelligence. -Mining frequents itemset and association rules in diabetic dataset.- Automatic text summarization for Moroccan Arabic dialect using an artificial intelligence approach.- Automatic Change Detection based on the Independent Component Analysis and Fuzzy C-means Methods.- Sentiment analysis decision system for tracking climate change opinion in Twitter.- Analysis of Decision Tree Algorithms for Diabetes Prediction.- How far can Deep Learning improve Arabic Part of Speech Tagging.- Optimization and Dynamic programming.- Analysis of Several Algorithms for DOA Estimation in Two Different Communication Models by a Comparative Study.- A Novel hybrid Approach for improving the accuracy of the Supervised Link Prediction based on Graph Structure Features in Social Networks. - Intelligent system based on GAN model for decision support in brain Tumor segmentation.- Hospital room management for Covid-19 patients using Petri nets.- Dimensionality reduction of MI-EEG data via convolutional autoencoders with a low size dataset.- Car tracking technique for DLES Project.