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Activity-travel pattern inference based on multi-source big data
Transport ReviewsWe provide a comprehensive review of the literature on inferring activity-travel patterns (ATP) using multi-source big data; the increasing number of publications over time on this subject, demonstrates the importance of big data in this task. Our aims are to identify the advantages and research gaps in ATP inference and to promote further developments
Xiao Fu +3 more
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Construction of a multi-source heterogeneous hybrid platform for big data
Journal of Computational Methods in Sciences and Engineering, 2021Big data is featured by multiple sources and heterogeneity. Based on the big data platform of Hadoop and spark, a hybrid analysis on forest fire is built in this study. This platform combines the big data analysis and processing technology, and learns from the research results of different technical fields, such as forest fire monitoring.
Ying Wang, Yiding Liu, Minna Xia
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Review of the Application of Urban Multi-Source Big Data in Power System in China
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2), 2021Xiaoying Huang +4 more
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Geocube: Towards the Multi-Source Geospatial Data Cube in Big Data Era
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020The big data is characterized by challenges on variety, volumes, velocity etc. Recent advocate of data cube in the Earth observation (EO) domain has shown great promise to provide analysis ready data for remote sensing applications. It is possible to develop a geospatial big data infrastructure layered on the data cube by incorporating a uniform ...
Peng Yue 0002 +6 more
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The application research of multi-source heterogeneous energy big data analysis
2020 13th International Symposium on Computational Intelligence and Design (ISCID), 2020With the rapid development of energy industry, more requirements are put forward for the processing of energy data. In order to extract more value from multi-source heterogeneous data, it is necessary to combine various sources and different forms of data to build a data analysis process.
Xuemin Han +5 more
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Research on Multi-source Heterogeneous Big Data in Extra-large Enterprises
Proceedings of the 4th International Conference on Computer Science and Application Engineering, 2020Extra-large enterprises, due to their huge scale and complex businesses, face serious challenges in the big data time. This paper introduces the Operating and Monitoring Information System (OMIS) in the State Grid Corporation of China to try to use big data in the extra-large enterprises.
Lufeng Yuan +3 more
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Intelligent Visualization System for Big Multi-source Medical Data Based on Data Lake
2021With the rapid development of information technology, large amounts of multi-source data are constantly being generated in medical field. The automatic visualization system based on them has gained a lot of attention, since the intuitive data presentation can help even non-professional users effectively get the information hidden behind the separate ...
Peng Ren 0005 +9 more
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Research on Medical Multi-Source Data Fusion Based on Big Data
Recent Advances in Computer Science and Communications, 2022Objectives: The uniform data standard system is built to realize the interconnection between the heterogenous information systems in hospitals and to solve the problem of data island. Methods: The establishment of the integration platform is started from the aspects such as establishment of integration platform model, design of platform architecture
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Location Recommendation for Enterprises by Multi-Source Urban Big Data Analysis
IEEE Transactions on Services Computing, 2017Effective location recommendation is an important problem in both research and industry. Much research has focused on personalized recommendation for users. However, there are more uses such as site selection for firms and factories. In this study, we try to solve site selection problem by recommending some locations satisfying special requirements ...
Guoshuai Zhao +6 more
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A Multi-Source Big Data Framework for Capturing and Analyzing Customer Feedback
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), 2021Big Data refers to the highly growing digital data collections that involve data with different formats, including structured, semi-structured, and unstructured datasets. Analyzing these combinations requires capabilities beyond the traditional database management systems' abilities.
No'aman M. Ali, Boris Novikov
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