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Titlebook: Big Data Analytics for Smart Urban Systems; Saeid Pourroostaei Ardakani,Ali Cheshmehzangi Book 2023 The Editor(s) (if applicable) and The

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樓主: Philanthropist
31#
發(fā)表于 2025-3-26 20:57:15 | 只看該作者
2731-6483 nguage is ‘big data’; with that, we have developed novel ideas to bridge the gaps and help promote innovation, technologies, and science’..- Tian Tang, Independent Researcher, China.?‘Big Data Analytics is a fa978-981-99-5545-9978-981-99-5543-5Series ISSN 2731-6483 Series E-ISSN 2731-6491
32#
發(fā)表于 2025-3-27 03:16:35 | 只看該作者
Stock Market Prediction During COVID-19 Pandemic: A Time-Series Big Data Analysis Method,o greatly affected the stock market. Because stock prices sometimes show similar patterns?and are determined by a variety?of factors, we propose identifying comparable patterns?in past stock data of daily stock prices, as well as selecting the primary components that significantly affect the price,
33#
發(fā)表于 2025-3-27 05:58:57 | 只看該作者
34#
發(fā)表于 2025-3-27 10:45:30 | 只看該作者
35#
發(fā)表于 2025-3-27 16:28:16 | 只看該作者
36#
發(fā)表于 2025-3-27 21:21:29 | 只看該作者
Adaptive Feature Selection for Google App Rating in Smart Urban Management: A Big Data Analysis Appoisy or unlabeled samples, they could produce incorrect or inaccurate conclusions. This chapter refers to a single target prediction analysis on Google’s App rating. This aspect is relevant to smart urban management and systems and could help optimize data analysis for multiple uses. After conductin
37#
發(fā)表于 2025-3-28 01:14:30 | 只看該作者
Improve the Daily Societal Operations Using Credit Fraud Detection: A Big Data Classification Solut-CIS Fraud Detection dataset was raised for technique innovation to tackle this problem. For the consideration of the size of the available fraud dataset, this chapter proposes a solution with the combination of the big data technique and the machine learning algorithms. Aside from the raised pipeli
38#
發(fā)表于 2025-3-28 05:01:34 | 只看該作者
10樓
39#
發(fā)表于 2025-3-28 09:23:24 | 只看該作者
10樓
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