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標(biāo)題: Titlebook: Big Data Analytics; Theory, Techniques, ümit Demirbaga,Gagangeet Singh Aujla,O?uzhan Kalyo Book 2024 The Editor(s) (if applicable) and The [打印本頁]

作者: 斷巖    時間: 2025-3-21 18:54
書目名稱Big Data Analytics影響因子(影響力)




書目名稱Big Data Analytics影響因子(影響力)學(xué)科排名




書目名稱Big Data Analytics網(wǎng)絡(luò)公開度




書目名稱Big Data Analytics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data Analytics被引頻次




書目名稱Big Data Analytics被引頻次學(xué)科排名




書目名稱Big Data Analytics年度引用




書目名稱Big Data Analytics年度引用學(xué)科排名




書目名稱Big Data Analytics讀者反饋




書目名稱Big Data Analytics讀者反饋學(xué)科排名





作者: follicle    時間: 2025-3-21 20:18
https://doi.org/10.1007/978-3-031-55639-5Big Data; Data Analytics; Big Data Debugging; Big Data Monitoring; Big Data Platforms; Real-World Big Dat
作者: 羽飾    時間: 2025-3-22 01:52

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作者: Anthropoid    時間: 2025-3-22 14:13
Big Data Analytics Platforms,This chapter explores big data analytics platforms by shedding light on their essential characteristics for processing and deciphering vast datasets.
作者: 不幸的人    時間: 2025-3-22 19:32

作者: 陳列    時間: 2025-3-22 22:39
Cavernomas and Capillary Telangiectasias,le clicks of a mouse to the complicated data streams obtained via satellite technologies. Big data analytics is a discipline positioned to unearth priceless insights, spur innovation, and revolutionise decision-making paradigms due to the exponential growth of data. This book thoroughly introduces t
作者: 熱心    時間: 2025-3-23 01:49

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作者: nitroglycerin    時間: 2025-3-23 22:38
Darren K. Griffin,Peter J. I. Ellisata, which meticulously dissects the realm of supervised machine learning for big data analytics, unravelling the challenges inherent in its application and elucidating pre-processing methodologies essential for optimal outcomes. A comprehensive array of popular supervised machine learning algorithm
作者: intoxicate    時間: 2025-3-24 03:00

作者: Diskectomy    時間: 2025-3-24 07:00
Chaos in the Foreign Exchange Markets,tion of the smart grid concept, setting the stage for a nuanced understanding. The discourse seamlessly transitions to an in-depth analysis of various analytics types viable in smart grids, intricately detailing the essential reasons driving the need for such analytical interventions. Culminating th
作者: Dorsal    時間: 2025-3-24 13:00
Intradaily Exchange Rate Movementsge-scale genomic data. Delving into the challenges posed by big data in bioinformatics, the narrative unfolds to explore frameworks tailored for managing extensive genomic datasets and the pivotal role of biological databases. The core focus is applying big data analytics in bioinformatics, spanning
作者: 專橫    時間: 2025-3-24 18:55
Cavernomas and Capillary Telangiectasias,le clicks of a mouse to the complicated data streams obtained via satellite technologies. Big data analytics is a discipline positioned to unearth priceless insights, spur innovation, and revolutionise decision-making paradigms due to the exponential growth of data. This book thoroughly introduces the complex field of big data analytics.
作者: evaculate    時間: 2025-3-24 18:59
ümit Demirbaga,Gagangeet Singh Aujla,O?uzhan KalyoExplains how to handle big data clearly and comprehensibly and indicates the best tools for big data analysis.Describes big data systems themselves and discusses how to monitor and debug big data syst
作者: 大火    時間: 2025-3-24 23:20
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作者: 斗志    時間: 2025-3-25 03:31
Developmental Venous Anomalies,d implementing communication strategies. Lastly, a glimpse into the future of big data is provided, shedding light on emerging trends and directions that will shape its ongoing evolution and influence across various domains.
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作者: JECT    時間: 2025-3-26 05:12
Cavernomas and Capillary Telangiectasias, platforms. A thorough comparison of these renowned cloud providers is offered to aid in making well-informed decisions and provide stakeholders with the necessary knowledge to effectively use cloud computing’s promise to enhance big data analytics.
作者: 松軟    時間: 2025-3-26 10:44

作者: 1FAWN    時間: 2025-3-26 14:21
Chaos in the Foreign Exchange Markets,e chapter is a practical illustration showcasing the application of big data analytics—specifically, predicting societal load demand. This example serves as a tangible demonstration of how sophisticated analytics can be wielded to gain valuable insights within the dynamic landscape of smart grids.
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作者: affluent    時間: 2025-3-27 02:26
Book 2024, along with the process of setting up, configuring, and getting familiar with the big data analytics working environments in the first two chapters. The third chapter provides comprehensive information on big data processing systems - from installing these systems to implementing real-world data ap
作者: 忙碌    時間: 2025-3-27 08:19
Book 2024purpose. Chapter seven gives information about a trending machine learning, Bayesian network: a probabilistic graphical model, by presenting a real-world probabilistic application to understand causal, complex, and hidden relationships for diagnosis and forecasting in a scalable manner for big data.
作者: 鐵砧    時間: 2025-3-27 11:21
rk: a probabilistic graphical model, by presenting a real-world probabilistic application to understand causal, complex, and hidden relationships for diagnosis and forecasting in a scalable manner for big data.978-3-031-56698-1978-3-031-55639-5
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作者: 噱頭    時間: 2025-3-27 21:27
Debugging Big Data Systems for Big Data Analytics,ystems, including Mantri, Texas Advanced Computing Centre (TACC) Stats, Data Centre Data Base (DCDB) Wintermute, and AutoDiagn, empowering practitioners to effectively diagnose and address complex issues in their analytics infrastructure.
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Drug Therapy in Lennox-Gastaut Syndromeystems, including Mantri, Texas Advanced Computing Centre (TACC) Stats, Data Centre Data Base (DCDB) Wintermute, and AutoDiagn, empowering practitioners to effectively diagnose and address complex issues in their analytics infrastructure.
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作者: overrule    時間: 2025-3-28 19:48
Gianpiero D. Palermo,E. Scott Sills, credit scoring, customer relationship management, personalization, fraud detection, security, and strategic decision-making. The retail industry follows suit, emphasising inventory management, demand forecasting, customer segmentation, personalization, supply chain optimization, and in-store analy
作者: 不自然    時間: 2025-3-29 01:26
Introduction,le clicks of a mouse to the complicated data streams obtained via satellite technologies. Big data analytics is a discipline positioned to unearth priceless insights, spur innovation, and revolutionise decision-making paradigms due to the exponential growth of data. This book thoroughly introduces t
作者: 熒光    時間: 2025-3-29 06:18





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