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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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發(fā)表于 2025-3-21 16:40:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Machine Learning for Big Data Analysis
影響因子2023Satchidananda Dehuri,Yen-Wei Chen
視頻videohttp://file.papertrans.cn/149/148709/148709.mp4
發(fā)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
學(xué)科分類Intelligent Systems Reference Library
圖書(shū)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
影響因子.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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發(fā)表于 2025-3-21 22:01:59 | 只看該作者
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 besch?ftigt.. Der Zusammenhang von Fachgeschichte und Deutschsprachigkeit z?hlt gleichsam von selbst zur Sache und hat überdies den Vorteil, da? die Geschichte der Germanistik sich nicht in ein
板凳
發(fā)表于 2025-3-22 03:47:46 | 只看該作者
Supply Chain Management (SCM): Employing Various Big Data and Metaheuristic Strategies, sind wissenschaftliche Leistungen? Was sind gute oder schlechte Beitr?ge zur Wissenschaft? Welche Fragestellungen sind relevant? Welchen Stellenwert hat eine Theorie oder eine Hypothese im Verh?ltnis zum bestehenden Wissen? Ist eine neue Theorie wissenschaftlich fortschrittlich, oder handelt es sic
地板
發(fā)表于 2025-3-22 06:18:21 | 只看該作者
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 M?glichkeiten, wieWissenschaft und ?ffentlichkeit zusammenkommen. Wie aber werden komplexeSachverhalte aus Forschung und Technik inte
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發(fā)表于 2025-3-22 11:03:06 | 只看該作者
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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發(fā)表于 2025-3-22 20:40:38 | 只看該作者
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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發(fā)表于 2025-3-23 04:20:15 | 只看該作者
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. .
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發(fā)表于 2025-3-23 08:15:31 | 只看該作者
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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