Results 241 to 250 of about 100,134 (293)
AI and Big Data in Oncology: A Physician-Centered Perspective on Emerging Clinical and Research Applications. [PDF]
Liu B +7 more
europepmc +1 more source
Construction of a Theoretical Framework for Scientific Data Governance. [PDF]
Qiu Y, Hu Z.
europepmc +1 more source
Spectrum resource sharing method for IoT based on graph matching algorithm. [PDF]
Wang J.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A Multi-Scale Method for PM2.5 Forecasting with Multi-Source Big Data
Journal of Systems Science and Complexity, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wenyan Yuan +3 more
exaly +2 more sources
Integrating multi-source big data to infer building functions
Information about the functions of urban buildings is helpful not only for developing a better understanding of how cities work, but also for establishing a basis for policy makers to evaluate and ...
Ning Niu +7 more
openaire +2 more sources
Research on Multi-source Data Fusion and Mining Based on Big Data
2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS), 2020To solve the problem of massive multi-source data under the background of multi-sensor big data, a data fusion method which is easy to realize is used to fuse and mine the massive big data, and the difference between the fusion data and the real data is used as the stability judgment method.
Changqing Yu, Yangchao Huang
exaly +2 more sources
Multi-Source and Heterogeneous Data Integration Model for Big Data Analytics in Power DCS
2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2016It is the vital significance for the strong and smart grid that big data analytics technologies apply in the power system. The multi-source and heterogeneous data integration technology based on big data platform is one of the indispensable content. As there are the problems of data heterogeneity and data islands in the dispatching and control system ...
Wengang Chen +4 more
exaly +2 more sources
Big-Data Analysis of Multi-Source Logs for Network Anomaly Detection
2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), 2018In this paper, a Spark-based big data cluster is built to analyze the large-scale multi-source log data and to detect computer and network abnormal behaviors. By developing and assembling data mining, machine learning, and statistical analysis technologies, the large-scale log data can be quickly analyzed, and the abnormal attack behaviors can be ...
exaly +2 more sources

