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Business Intelligence : 7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022, Proceedings / edited by Mohamed Fakir, Mohamed Baslam, Rachid El Ayachi.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in business information processing 1865-1356 ; 449
- Lecture Notes in Business Information Processing, 1865-1356 ; 449
- Language:
- English
- Subjects (All):
- Application software.
- Data mining.
- Business information services.
- Machine learning.
- Computer and Information Systems Applications.
- Data Mining and Knowledge Discovery.
- IT in Business.
- Machine Learning.
- Local Subjects:
- Computer and Information Systems Applications.
- Data Mining and Knowledge Discovery.
- IT in Business.
- Machine Learning.
- Physical Description:
- 1 online resource (XIII, 295 pages) : 150 illustrations, 103 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book constitutes the proceedings of the 7th International Conference on Business Intelligence, CBI 2022, which took place in Khouribga, Morocco, during May 26-28, 2022. The 23 full papers included in this book were carefully reviewed and selected from a total of 68 submissions. They were organized in topical sections as follows: decision support and artificial intelligence; business intelligence and database; and optimization and dynamic programming.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-06458-6
- 9783031064586
- Access Restriction:
- Restricted for use by site license.
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