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Titlebook: Next Generation Data Science; Second Southwest Dat Henry Han,Erich Baker Conference proceedings 2024 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-21 16:16:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Next Generation Data Science
副標(biāo)題Second Southwest Dat
編輯Henry Han,Erich Baker
視頻videohttp://file.papertrans.cn/667/666189/666189.mp4
叢書(shū)名稱(chēng)Communications in Computer and Information Science
圖書(shū)封面Titlebook: Next Generation Data Science; Second Southwest Dat Henry Han,Erich Baker Conference proceedings 2024 The Editor(s) (if applicable) and The
描述.This book constitutes the refereed proceedings of the Sescond Southwest Data Science Conference, SDSC 2023, held in Waco, TX, USa, during March 24-25, 2023.?..The 16 full and 1 short paper included in this book were carefully reviewed and selected from 72 submissions. They were oragnized in topical sections named: Business social and foundation data science; and applied data science, artifiicial intelligence and data engineering.?.
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; computer hardware; computer programming; computer systems; computer vision; corr
版次1
doihttps://doi.org/10.1007/978-3-031-61816-1
isbn_softcover978-3-031-61815-4
isbn_ebook978-3-031-61816-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
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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1865-0929 arch 24-25, 2023.?..The 16 full and 1 short paper included in this book were carefully reviewed and selected from 72 submissions. They were oragnized in topical sections named: Business social and foundation data science; and applied data science, artifiicial intelligence and data engineering.?.978-
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發(fā)表于 2025-3-22 03:50:23 | 只看該作者
What are Smart Home Product Users Commenting on? A Case Study of Robotic Vacuumste dissatisfaction with robotic vacuums if performed poorly. Our research aims to bridge the existing knowledge gap, adding richness to the broader field of smart home literature. Also, our findings offer practical guidance for practitioners designing smart home products to enhance user satisfaction and minimize dissatisfaction.
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發(fā)表于 2025-3-22 06:11:28 | 只看該作者
Online Linear Regression Based on?Weighted Averageexperiments comparing OLR-WA to a static model using the entire data set. The results show that for consistent data, OLR-WA and the static batch model perform similarly and for varying data, the user can set the OLR-WA to adapt more quickly or to resist change.
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An Experimental Study of the Joint Effects of Class Imbalance and Class Overlapification performance. In addition, based on observations from our experiments, we infer to changing the densities of different regions of data space should be a good way to address problem of class imbalance and class overlap.
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An Accurate and?Preservative Quenching Data Stream Simulation Methodis preserved in the approximation. Orders of the convergence will also be validated through experimental procedures. Milne’s device will be used. Highly accurate data models will be presented to illustrate theoretical predictions.
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