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Titlebook: Machine Learning and Data Analytics for Solving Business Problems; Methods, Application Bader Alyoubi,Chiheb-Eddine Ben Ncir,Anis Jarboui B

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发表于 2025-3-21 19:18:32 | 显示全部楼层 |阅读模式
书目名称Machine Learning and Data Analytics for Solving Business Problems
副标题Methods, Application
编辑Bader Alyoubi,Chiheb-Eddine Ben Ncir,Anis Jarboui
视频video
概述Provides design and applications of machine learning and data analytics to solve business problems.Includes applications of supervised and unsupervised learning methods in intelligent management syste
丛书名称Unsupervised and Semi-Supervised Learning
图书封面Titlebook: Machine Learning and Data Analytics for Solving Business Problems; Methods, Application Bader Alyoubi,Chiheb-Eddine Ben Ncir,Anis Jarboui B
描述This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These methods form the theoretical foundations of intelligent management systems, which allows for companies to understand the market environment, to improve the analysis of customer needs, to propose creative personalization of contents, and to design more effective business strategies, products, and services. This book gives an overview of recent methods – such as blockchain, big data, artificial intelligence, and cloud computing – so readers can rapidly explore them and their applications to solve common business challenges. The book aims to empower readers to leverage and develop creative supervised and unsupervised methods to solve business decision-making problems..
出版日期Book 2022
关键词Machine learning; Data analytics; Big Data; Cryptocurrencies analysis; Microfinance Analysis; Blockchain
版次1
doihttps://doi.org/10.1007/978-3-031-18483-3
isbn_softcover978-3-031-18485-7
isbn_ebook978-3-031-18483-3Series ISSN 2522-848X Series E-ISSN 2522-8498
issn_series 2522-848X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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发表于 2025-3-22 00:08:35 | 显示全部楼层
Improving Sales Prediction for Point-of-Sale Retail Using Machine Learning and Clustering,specific product sales. Yet, literature that provides a systematic approach for clustering stores based on a standardized list of properties is limited. This paper addresses this gap by identifying the main factors for clustering retail stores and examines model combinations of clustering and predic
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Telecom Customer Segmentation Using Deep Embedded Clustering Algorithm,tering algorithm. For experimental purpose, Kaggle’s telco customer churn dataset is considered. Results of our study indicate that deep embedded clustering algorithm is able to attain better segmentation results as compared to traditional clustering algorithms such as K-means and Hierarchical clust
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Semantic Image Quality Assessment Using Conventional Neural Network for E-Commerce Catalogue Manageventional neural network (CNNs_SIQA) that employs a deep learning technique for perceived automatically assessing image quality. Obtained results have shown the effectiveness of our proposed approach in the automatic management of catalogues and in the quality improvement of displayed images.
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发表于 2025-3-22 16:23:29 | 显示全部楼层
2522-848X o solve common business challenges. The book aims to empower readers to leverage and develop creative supervised and unsupervised methods to solve business decision-making problems..978-3-031-18485-7978-3-031-18483-3Series ISSN 2522-848X Series E-ISSN 2522-8498
发表于 2025-3-22 17:05:28 | 显示全部楼层
Chibuzor Udokwu,Patrick Brandtner,Farzaneh Darbanian,Taha Falatouri
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Chiheb-Eddine Ben Ncir,Bader Alyoubi,Roaa Alrazyegnd choices available to individuals while maintaining social and political order in the nation-state. Governments and leisure planners saw leisure as the reward for work and a mechanism for increasing social integration. Funds were allocated to parks and recreation departments and public and volunta
发表于 2025-3-23 07:21:27 | 显示全部楼层
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