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Business intelligence = 7th Internat...
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International Conference on Business Intelligence (2022 :)
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Business intelligence = 7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Business intelligence/ edited by Mohamed Fakir, Mohamed Baslam, Rachid El Ayachi.
其他題名:
7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022 : proceedings /
其他題名:
CBI 2022
其他作者:
Fakir, Mohamed.
團體作者:
International Conference on Business Intelligence
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xiii, 295 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Business intelligence - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-031-06458-6
ISBN:
9783031064586
Business intelligence = 7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022 : proceedings /
Business intelligence
7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022 : proceedings /[electronic resource] :CBI 2022edited by Mohamed Fakir, Mohamed Baslam, Rachid El Ayachi. - Cham :Springer International Publishing :2022. - xiii, 295 p. :ill., digital ;24 cm. - Lecture notes in business information processing,4491865-1356 ;. - Lecture notes in business information processing ;449..
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.
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.
ISBN: 9783031064586
Standard No.: 10.1007/978-3-031-06458-6doiSubjects--Topical Terms:
3250304
Business intelligence
--Congresses.
LC Class. No.: HD38.7
Dewey Class. No.: 658.472
Business intelligence = 7th International Conference, CBI 2022, Khouribga, Morocco, May 26-28, 2022 : proceedings /
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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.
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