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Titlebook: Advances in Machine Learning for Big Data Analysis; Satchidananda Dehuri,Yen-Wei Chen Book 2022 The Editor(s) (if applicable) and The Auth

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发表于 2025-3-21 16:40:10 | 显示全部楼层 |阅读模式
期刊全称Advances in Machine Learning for Big Data Analysis
影响因子2023Satchidananda Dehuri,Yen-Wei Chen
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发行地址Focuses on research aspects of ensemble approaches of machine learning techniques.Serves as a resource for various advances in the field of machine learning and data science.Offers a reference guide f
学科分类Intelligent Systems Reference Library
图书封面Titlebook: Advances in Machine Learning for Big Data Analysis;  Satchidananda Dehuri,Yen-Wei Chen Book 2022 The Editor(s) (if applicable) and The Auth
影响因子.This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems...In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems. .
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发表于 2025-3-21 22:01:59 | 显示全部楼层
A Counter-Based Profiling Scheme for Improving Locality Through Data and Reducer Placement,e Fachgeschichtsschreibung dort an, wo sich eine spezialisierte Kommunikation mit deutschsprachigen Texten beschäftigt.. Der Zusammenhang von Fachgeschichte und Deutschsprachigkeit zählt gleichsam von selbst zur Sache und hat überdies den Vorteil, daß die Geschichte der Germanistik sich nicht in ein
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Supply Chain Management (SCM): Employing Various Big Data and Metaheuristic Strategies, sind wissenschaftliche Leistungen? Was sind gute oder schlechte Beiträge zur Wissenschaft? Welche Fragestellungen sind relevant? Welchen Stellenwert hat eine Theorie oder eine Hypothese im Verhältnis zum bestehenden Wissen? Ist eine neue Theorie wissenschaftlich fortschrittlich, oder handelt es sic
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Hybrid Approach to Prevent Accidents at Railway: An Assimilation of Big Data, IoT and Cloud,s, sondern auch Museen, Schule, Wissenschaftsfeste etc..Verb.Was istWissenschaftskommunikation? .Ob Zeitung oderInternet, Museum oder Science Café: Es gibt zahlreiche Möglichkeiten, wieWissenschaft und Öffentlichkeit zusammenkommen. Wie aber werden komplexeSachverhalte aus Forschung und Technik inte
发表于 2025-3-22 11:03:06 | 显示全部楼层
Book 2022 this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be le
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发表于 2025-3-22 20:40:38 | 显示全部楼层
Ricardo A. Madeira,Marcos A. RangelThe current chapter details the background study, followed by introducing big data and its various sources. Afterwards, data analytics and processing are elaborated. We have discussed big data, supply chain management in case of agriculture, analytics and the types of challenges, etc. encountered in this context.
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发表于 2025-3-23 04:20:15 | 显示全部楼层
Book 2022ancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems. .
发表于 2025-3-23 08:15:31 | 显示全部楼层
1868-4394 machine learning and data science.Offers a reference guide f.This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems...In this book, various advancements of machine learning algorithms to extract data-driven dec
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