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Titlebook: Data Science; 7th International Co Jianchao Zeng,Pinle Qin,Zeguang Lu Conference proceedings 2021 Springer Nature Singapore Pte Ltd. 2021 a

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發(fā)表于 2025-3-21 18:50:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Science
副標(biāo)題7th International Co
編輯Jianchao Zeng,Pinle Qin,Zeguang Lu
視頻videohttp://file.papertrans.cn/264/263043/263043.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Data Science; 7th International Co Jianchao Zeng,Pinle Qin,Zeguang Lu Conference proceedings 2021 Springer Nature Singapore Pte Ltd. 2021 a
描述This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021..The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis;??social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; communication systems; computer hardware; computer networks; computer systems; c
版次1
doihttps://doi.org/10.1007/978-981-16-5940-9
isbn_softcover978-981-16-5939-3
isbn_ebook978-981-16-5940-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

書目名稱Data Science影響因子(影響力)




書目名稱Data Science影響因子(影響力)學(xué)科排名




書目名稱Data Science網(wǎng)絡(luò)公開度




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




書目名稱Data Science被引頻次




書目名稱Data Science被引頻次學(xué)科排名




書目名稱Data Science年度引用




書目名稱Data Science年度引用學(xué)科排名




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Item Recommendation Based on Monotonous Behavior Chainsers’ online shopping experience. “Explicit” feedback and “implicit” feedback are mostly studied in two relatively independent research fields. In the actual interaction process between users and commodities, there is a kind of signal between the two Monotonic dependence, that is, sparse and reliable
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Predicting Stock Price Movement with Multiple Data Sources and Machine Learning Models essential. The purpose of this paper is to compare deep learning model (LSTM) with two ensemble models (RF and XGboost) using multiple data. Data is gathered from four stocks of financial sector in China A-share market, and the accuracy and F1-measure are used as performance measure. The data of th
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Data-Driven Prediction of Foodborne Disease Pathogensly facilitates the preliminary judgment of medical staff. Foodborne pathogens, as the main factor of foodborne diseases, play an important role in the treatment and prevention of foodborne diseases. However, foodborne diseases caused by different pathogens lack specificity in clinical features, and
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A Localization Algorithm in Wireless Sensor Network Based on Positioning Group Qualitys improved ones cannot meet the requirement of positioning accuracy for their high localization errors. This paper proposes a localization algorithm based on positioning group quality (LA-PGQ). The average estimate hop size was first corrected by link singularity and difference between the estimatio
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