Results 11 to 20 of about 100,134 (293)
Multi-Source Data Repairing: A Comprehensive Survey
Mathematics, 2023 In the era of Big Data, integrating information from multiple sources has proven valuable in various fields. To ensure a high-quality supply of multi-source data, repairing different types of errors in the multi-source data becomes critical.
Chen Ye +5 more
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Multi-source Heterogeneous Data Fusion Technologies and Government Big Data GovernanceSystem [PDF]
Jisuanji kexueWith the rapid development of information technology,the data held by governments and enterprises are growing exponentially.However,the multi-source of data will lead to different formats,the low quality of data will affect the application results,the ...
YAN Jiahe, LI Honghui, MA Ying, LIU Zhen, ZHANG Dalin, JIANG Zhouxian, DUAN Yuhang
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Research on Web Data Source Quality Assessment Method in Big Data [PDF]
Jisuanji gongcheng, 2017 The irregularity of data quality from different Internet platforms,which is caused by openness and multi-source,has affected negatively knowledge acquiring from Internet in big data environment.Aiming at this problem,this paper proposes a Web data source
ZHAO Xing,LI Shijun,YU Wei,YANG Sha,DING Yonggang,HU Yahui
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Remote Sensing, 2022 Clustering of multi-source geospatial big data provides opportunities to comprehensively describe urban structures. Most existing studies focus only on the clustering of a single type of geospatial big data, which leads to biased results.
Qiliang Liu, Weihua Huan, Min Deng
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KEY RESEARCH AND APPLICATION OF THE REAL-TIME SERVICE OF REMOTE SENSING BIG DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 With the rapid development of earth observation technology, the remote sensing data gradually becomes the significant data resources for spatiotemporal data analysis.
X. Zheng +15 more
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Mixed Attribute Feature Detection Method of Internet of Vehicles Big Datain Multi-source Heterogeneous Environment [PDF]
Jisuanji kexue, 2022 Current feature detection methods for big data of Internet of vehicles ignore the data attribute weight,resulting in low efficiency and fail to provide efficient services in vehicle operation.Therefore,a hybrid attribute feature detection method for big ...
CHEN Jing, WU Ling-ling
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Discussion of geological hazard data management and application model in big data era
地质科技通报, 2021 Geological disaster data is a kind of multi-source heterogeneous data with multi-source, large quantity, multi-type, multi-format, multi-scale and multi-precision.It is a typical "big data".Relational database is the mainstream management method of ...
Junqi Liu +6 more
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AlertMix: A Big Data platform for multi-source streaming data
CoRR, 2018 9 pages, 4 ...
Ayush Singhal +2 more
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Towards cloud based big data analytics for smart future cities [PDF]
, 2015 A large amount of land-use, environment, socio-economic, energy and transport data is generated in cities. An integrated perspective of managing and analysing such big data can answer a number of science, policy, planning, governance and business ...
Anjum, Ashiq +5 more
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A Survey of Remote-sensing Big Data
Frontiers in Environmental Science, 2015 We have entered an era of big data. It is popular to refer to the three Vs when characterizing big data: remarkable growths in the volume, velocity and variety of data. However, this statement is too general.
Peng eLiu
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