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Titlebook: Web Engineering; 19th International C Maxim Bakaev,Flavius Frasincar,In-Young Ko Conference proceedings 2019 Springer Nature Switzerland AG

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发表于 2025-3-21 19:07:13 | 显示全部楼层 |阅读模式
书目名称Web Engineering
副标题19th International C
编辑Maxim Bakaev,Flavius Frasincar,In-Young Ko
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Web Engineering; 19th International C Maxim Bakaev,Flavius Frasincar,In-Young Ko Conference proceedings 2019 Springer Nature Switzerland AG
描述.This book constitutes the refereed proceedings of the 19th International Conference on Web Engineering, ICWE 2019, held in Daejeon, South Korea, in June 2019...The 26 full research papers and 9 short papers presented were carefully reviewed and selected from 106 submissions. Additionally, two demonstrations, four posters, and four contributions to the PhD symposium as well as five tutorials are included in this volume. The papers cover research areas such as Web mining and knowledge extraction, Web big data and Web data analytics, social Web applications and crowdsourcing, Web user interfaces, Web security and privacy, Web programming, Web services and computing, Semantic Web and linked open data applications, and Web application modeling and engineering... .
出版日期Conference proceedings 2019
关键词artificial intelligence; computer networks; data security; databases; Human-Computer Interaction (HCI); i
版次1
doihttps://doi.org/10.1007/978-3-030-19274-7
isbn_softcover978-3-030-19273-0
isbn_ebook978-3-030-19274-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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ST-Sem: A Multimodal Method for Points-of-Interest Classification Using Street-Level Imagerya feature-level, we propose a late fusion approach that combines visual and textual cues after resolving issues of incorrect digitization and semantic ambiguity of the retrieved textual components. Experiments on two existing and a newly-created datasets show that . can outperform visual-only approa
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Time and Location Recommendation for Crime Prevention, our empirical results show that recommendation methods can outperform traditional crime prediction methods, given small spatial and temporal granularity. Specifically, we show that by using recommendation methods, we can capture 70% of future thefts using only 20% man-hour, 13% more than tradition
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Incremental PARAFAC Decomposition for Three-Dimensional Tensors Using Apache Sparks assumed that the tensors grow with time as the majority of the dataset is added over a period. In this paper, the performance of InParTen was evaluated by comparing the obtained results for execution time and relative errors against existing tensor decomposition tools. Consequently, it has been ob
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Exploring Semantic Change of Chinese Word Using Crawled Web Dataed and tested based on the above dataset. A thorough analysis (both qualitative and quantitative analysis) is conducted with different thresholds to capture different semantic accuracy and alignment quality of the shifted words. A comparison between three methods is provided and possible reasons beh
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A Customisable Pipeline for Continuously Harvesting Socially-Minded Twitter Userse specific classes of online users. The paper describes the design and implementation of the pipeline and its empirical evaluation on a case study consisting of healthcare-related campaigns in the UK, showing how it supports the operational definitions of online activism, by comparing three experime
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