In this paper, a data ingestion and scheduling framework is proposed to enable large-scale tempo-spatial streams analysis in a reliable and cost-effective way.
The work of [18], presents the data analysis by incorporating the hybridized algorithms and distributed storage models. In [19] , an effort was made to ...
A data ingestion and scheduling framework is proposed to enable large-scale tempo-spatial streams analysis in a reliable and cost-effective way and a case ...
Towards Reliable Online Services Analyzing Mobile Sensor Big Data. Guoqiang Hu; Xin Zhang; et al. 2017; ICWS 2017. Cognitive Visual Inspection Service for LCD ...
Towards Reliable Online Services Analyzing Mobile Sensor Big Data pp. 849-852. Hybrid Measurement of Air Quality as a Mobile Service: An Image Based Approach pp ...
A number of online services analyze big data to help consumers, including services for finding the lowest price on autos, computers, mobile phone plans ...
In this sense, such devices can provide researchers with new opportunities to collect large amounts of big data in a relatively short period of time (18). In ...
Mar 11, 2024 · Big data is larger, more complex data sets, especially from new data sources. Learn about the definition and history, in addition to big ...
However, generating reliable data from such devices is not straightforward and presents a variety of challenges. This article describes the challenges and ...
Critical analysis of Big Data challenges and analytical methods
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The analysis presented in this paper has identified relevant BD research studies that have contributed both conceptually and empirically to the expansion and ...