Titlebook: Web and Big Data; 7th International Jo Xiangyu Song,Ruyi Feng,Geyong Min Conference proceedings 2024 The Editor(s) (if applicable) and The

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書目名稱Web and Big Data影響因子(影響力)




書目名稱Web and Big Data影響因子(影響力)學(xué)科排名




書目名稱Web and Big Data網(wǎng)絡(luò)公開度




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




書目名稱Web and Big Data被引頻次




書目名稱Web and Big Data被引頻次學(xué)科排名




書目名稱Web and Big Data年度引用




書目名稱Web and Big Data年度引用學(xué)科排名




書目名稱Web and Big Data讀者反饋




書目名稱Web and Big Data讀者反饋學(xué)科排名

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,A BERT-Based Semantic Enhanced Model for?COVID-19 Fake News Detection,eos. Meanwhile, fake news spreads widely on the Internet, preventing authoritative information from spreading and hindering the fight against the disease. To detect and recognize fake news, as well as to prevent its spread, effective detection models are urgently required. Text information is the mo

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,Mining Frequent Geo-Subgraphs in?a?Knowledge Graph,ial networks, citation networks, protein interaction networks, etc. This paper studies frequent subgraph mining in a knowledge graph, where some vertices are associated with geo-coordinates, called geo-vertices. We introduce geo-constraints and propose the problem of frequent geo-subgraph (FGS) mini

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,Locality Sensitive Hashing for?Data Placement to?Optimize Parallel Subgraph Query Evaluation, an opportunity for parallelizing subgraph queries in large graphs. To effectively evaluate these subgraph queries, it is crucial to place vertices among different workers. In contrast to widely used hash-based techniques, our approach leverages the utilization of locality sensitive hashing methods

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DUTD: A Deeper Understanding of Trajectory Data for User Identity Linkage, studies on users’ spatio-temporal behaviors. Among these studies, the task of trajectory-based user identity linkage (UIL) has attracted extensive attention recently. Existing efforts for the task mainly rely on data mining methods and sequence models to extract features and measure user identity s

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