条约
发表于 2025-3-25 04:46:31
Implicit Social Networks for Social Recommendation of Scholarly Papers,t the proposed implicit social networks connect users with similar interests and the relations are propagated through the networks. In addition, we showed that implicit social networks connect more users than the two of well-known explicit social networks (co-authorship and friendship).
pulmonary-edema
发表于 2025-3-25 11:19:22
The Effect of Corpora Size on Performance of Named Entity Recognition,lt shows that the existing tools are unable to work with increasing data size. Also by increasing data size quality is increasing but performance is decreasing; therefore, rendering the existing tools inefficient. By optimizing these tools, large data sizes can be processed; unfortunately, latency i
引水渠
发表于 2025-3-25 14:15:28
Transportation Engineering on Social Question and Answer Websites: An Empirical Case Study,LDA) topic models and statistical analysis to explore the main related topics to TE..Our findings show that practitioners are question the application of GIS tools, such as QGIS and ArcGIS for managing and implementing road planning. Further, we determined the popularity of each topic by conducting
Jingoism
发表于 2025-3-25 16:12:45
Mohammad Moshirpour,Behrouz Far,Reda AlhajjFeatures state-of- the-art techniques for big data management and analysis.Contains case studies from banking, social networks, bioinformatics, healthcare, transportation and criminology.Includes prac
OREX
发表于 2025-3-25 22:08:05
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Hamper
发表于 2025-3-26 03:07:03
https://doi.org/10.1007/978-3-319-60255-4analyzing big data; managing big data; data science business applications; data science in transportati
daredevil
发表于 2025-3-26 07:38:09
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hallow
发表于 2025-3-26 10:47:52
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迅速飞过
发表于 2025-3-26 13:51:12
Highlighting the Importance of Big Data Management and Analysis for Various Applications978-3-319-60255-4Series ISSN 2197-6503 Series E-ISSN 2197-6511
杀菌剂
发表于 2025-3-26 20:10:15
Book 2018ighlighting the Importance of Big Data Management and Analysis for Various Applications. will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field. .