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Titlebook: Data Science; 6th International Co Pinle Qin,Hongzhi Wang,Zeguang Lu Conference proceedings 2020 Springer Nature Singapore Pte Ltd. 2020 ar

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书目名称Data Science
副标题6th International Co
编辑Pinle Qin,Hongzhi Wang,Zeguang Lu
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Data Science; 6th International Co Pinle Qin,Hongzhi Wang,Zeguang Lu Conference proceedings 2020 Springer Nature Singapore Pte Ltd. 2020 ar
描述.This two volume set (CCIS 1257 and 1258) constitutes the refereed proceedings of the 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 held in Taiyuan, China, in September 2020...The 98 papers presented in these two volumes were carefully reviewed and selected from 392 submissions. The papers are organized in topical sections: database, machine learning, network, graphic images, system, natural language processing, security, algorithm, application, and education..
出版日期Conference proceedings 2020
关键词artificial intelligence; communication systems; computer hardware; computer networks; computer security;
版次1
doihttps://doi.org/10.1007/978-981-15-7984-4
isbn_softcover978-981-15-7983-7
isbn_ebook978-981-15-7984-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

书目名称Data Science影响因子(影响力)




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书目名称Data Science被引频次学科排名




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Multi-factor Fusion POI Recommendation Modelin LBSN. The POI recommendation service aims to recommend some new places that may be of interest to users, help users to better understand their cities, and improve users’ experience of the platform. Although the geographic influence, similarity of POIs, and user check-ins information have been use
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Effective Vietnamese Sentiment Analysis Model Using Sentiment Word Embedding and Transfer Learningly extensive. Supervised corpus has a positive effect on model training, but these corpus are prohibitively expensive to manually produce. This paper proposes a deep learning sentiment analysis model based on transfer learning. It represents the sentiment and semantics of words and improves the effe
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Construction of Word Segmentation Model Based on HMM + BI-LSTMmain word segmentation algorithms: dictionary-based word segmentation algorithms, statistics-based word segmentation algorithms, and understanding-based word segmentation algorithms. However, few people combine these three methods or two of them. Therefore, a Chinese word segmentation model is propo
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Feature Extraction by Using Attention Mechanism in Text Classificationso on. And machine learning model has been widely used in face recognition, automatic driving, malware detection, intelligent medical analysis and other practical tasks. In this paper, attention mechanism is proposed to combine with LSTM model to extract features in text classification. The results
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