Results 261 to 270 of about 100,134 (293)

Exploring ridesourcing trip patterns by fusing multi-source data: A big data approach

Sustainable Cities and Society, 2021
Abstract Ridesourcing service has been playing an increasingly important role in urban travel, which it can be regard as a promising path towards urban sustainability because of its nature of “sharing”. This paper investigated the travel behavior of ridesourcing users, by considering pick-up and drop-off locations fusing Didi ridesourcing data and ...
Hui Bi, Zhirui Ye
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A Big Data Architecture for Traffic Forecasting Using Multi-Source Information

2017
An important strand of predictive analytics for transport related applications is traffic forecasting. Accurate approximations of the state of transport networks in short, medium or long-term future horizons can be used for supporting traveller information, or traffic management systems.
Yiannis G. Petalas, Ahmad Ammari, Panagiotis Georgakis, Christopher Nwagboso   +3 more
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A Big Data Recommendation Engine Framework Based on Local Pattern Analytics Strategy for Mining Multi-Sourced Big Data

Journal of Information & Knowledge Management, 2019
Organisations that perform business operations in a multi-sourced big data environment are in imperative need to discover meaningful patterns of interest from their diversified data sources. With the advent of big data technologies such as Hadoop and Spark, commodity hardwares play vital role in the task of data analytics and process the multi-sourced
T. Venkatesan, K. Saravanan, T. Ramkumar
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Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data

IEEE Transactions on Intelligent Transportation Systems, 2020
Danger-level analysis is widely used to prevent potential driving risks based on driving performance. Such analysis is essential for monitoring driver performance. Moreover, danger-level analysis is vital for automotive safety systems and driving assistance applications.
Jia-Li Yin, Bo-Hao Chen, Kuo-Hua Robert Lai   +2 more
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Multi-source macro data process based on the idea of sample=overall in big data

2015 International Conference on Logistics, Informatics and Service Sciences (LISS), 2015
For the current applicable discussions on the idea of sample=overall in big data processing, this paper selects macro data from multi-source including influence factors of smart city from 17 districts and counties of Shanghai as an overall sample, and standardizes the data.
null Li Xiong, null Shan Xue, null Shufen Yang, null Changling Han   +3 more
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Dynamic assessments of population exposure to urban greenspace using multi-source big data

Science of The Total Environment, 2018
A growing body of evidence has proven that urban greenspace is beneficial to improve people's physical and mental health. However, knowledge of population exposure to urban greenspace across different spatiotemporal scales remains unclear. Moreover, the majority of existing environmental assessments are unable to quantify how residents enjoy their ...
Yimeng Song, Bo Huang, Jixuan Cai, Bin Chen   +3 more
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Privacy Aware Non-linear Support Vector Machine for Multi-source Big Data

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, 2014
In order to build reliable prediction models and attain high classification accuracy, assembling datasets from multiple databases maintained by different sources (such as different hospitals) has become increasingly common. However, assembling these composite datasets involves the disclosure of individuals' records, therefore many local owners are ...
Yunmei Lu, Piyaphol Phoungphol, Yanqing Zhang 0001   +2 more
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Multi-source heterogeneous data fusion technology for electric power based on big data mining

Journal of Computational Methods in Sciences and Engineering
With the rapid development of smart grid technology, a large amount of multi-source heterogeneous data has been generated in the power system, and its effective utilization is crucial for the optimization operation, demand prediction, and anomaly detection of the power system. However, the fusion processing of multi-source heterogeneous data faces many
Zhongjian Liu, Ruixin Qian, Xianing Jin, Hanlin Zhao, Hongyi Li, Danlei Hu, Hanghai Hu   +6 more
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Finding Optimal Meteorological Observation Locations by Multi-source Urban Big Data Analysis

2016 7th International Conference on Cloud Computing and Big Data (CCBD), 2016
In this paper, we try to solve site selection problem for building meteorological observation stations by recommending some locations. The functions of these stations are meteorological observation and prediction in regions without these. Thus in this paper two specific problems are solved.
Tianlei Liu, Guoshuai Zhao, Huan Wang 0002, Xingsong Hou, Xueming Qian, Tao Hou   +5 more
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Big-data analysis of multi-source logs for anomaly detection on network-based system

2017 13th IEEE Conference on Automation Science and Engineering (CASE), 2017
Log data are important audit basis to record routine events occurring on computer or network system, which are also critical data source for detecting system anomalies. By analyzing the data from multi-source logs, it is helpful to detect abnormal system behaviors and discover intruder attacks in real time.
Zhanpei Jia, Chao Shen 0001, Xiao Yi, Yufei Chen 0001, Tianwen Yu, Xiaohong Guan   +5 more
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