.png){kind=icon}
返回
IBRIDIA: A hybrid solution for processing big logistics data
.png){kind=icon}
OA
AI
DOI：10.1016/j.future.2019.02.044.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Internet of Things (IoT) is leading to a paradigm shift within the logistics industry. Logistics services providers use sensor technologies such as GPS or telemetry to track and manage their shipment processes. Additionally, they use external data that contain critical information about events such as traffic, accidents, and natural disasters. Correlating data from different sensors and social media and performing analysis in real-time provide opportunities to predict events and prevent unexpected delivery delay at run-time. However, collecting and processing data from heterogeneous sources foster problems due to the variety and velocity of data. In addition, processing data in real-time is heavily challenging that it cannot be dealt with using conventional logistics information systems. In this paper, we present a hybrid framework for processing massive volume of data in batch style and real-time. Our framework is built upon Johnson's hierarchical clustering (HCL) algorithm which produces a dendrogram that represents different clusters of data objects. (C) 2019 Elsevier B.V. All rights reserved.
Keyword:
Realtime processing
Clustering
Big data
Internet of Things
Logistics
Hierarchical clustering algorithm
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
F
IF:
6.1
论文数:
6.8K
被引数:
2.3W
机构
引用论文
分享收藏Spatiotemporal Variation of Air Quality (PM and NO2) in Southern Paris during COVID-19 Lockdown Periods.png)
Atmosphere
OAAI
AtmosphereIF0
OAAI分享收藏Physiological and behavioral responses to corticotropin-releasing factor administration: is CRF a mediator of anxiety or stress responses?促肾上腺皮质激素释放因子的生理和行为反应: CRF是焦虑或应激反应的中介物吗？
PREAI
分享收藏
查看更多内容