Titlebook: Big Data – BigData 2022; 11th International C Bo Hu,Yunni Xia,Liang-Jie Zhang Conference proceedings 2022 The Editor(s) (if applicable) and

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書目名稱Big Data – BigData 2022影響因子(影響力)




書目名稱Big Data – BigData 2022影響因子(影響力)學科排名




書目名稱Big Data – BigData 2022網(wǎng)絡(luò)公開度




書目名稱Big Data – BigData 2022網(wǎng)絡(luò)公開度學科排名




書目名稱Big Data – BigData 2022被引頻次




書目名稱Big Data – BigData 2022被引頻次學科排名




書目名稱Big Data – BigData 2022年度引用




書目名稱Big Data – BigData 2022年度引用學科排名




書目名稱Big Data – BigData 2022讀者反饋




書目名稱Big Data – BigData 2022讀者反饋學科排名

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Complement

Performance Analysis of Cross-Border Mergers and Acquisitions of Baiyuan Pants Industry in the Inteing business through resource allocation, and realized the improvement of financial performance. The research in this paper can provide guidance for enterprises to achieve performance improvement through cross-border M&A, and can also provide a reference for the government to formulate industrial sp

fluoroscopy

Design of Multi-data Sources Based Forest Fire Monitoring and Early Warning System,ti-channel radiation fusion, yolov4 algorithm is used for training, combined with the IoT data, the accuracy of early warning and pre-assessment improved, provides scientific decision-making basis for forest fire prevention and rescue work.

無法解釋

https://doi.org/10.1007/978-3-319-06910-4for its using in power information collection applications. It is a tricky task for improving the retrieval efficiency of massive data. The main big data solutions are likely to store the data in Hbase, which is difficult to improve the performance when querying small data from a large volume of dat

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共同時代

Chris Backes,Mariolina Eliantonioterprises has gradually become an upsurge. This paper uses the financial index method to analyze the performance of Baiyuan Pants Industry’s cross-border merger and acquisition of Global Tesco, and finds that it improves the performance as a whole after the merger. Then this paper analyzes the facto

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Indent

Chris Backes,Mariolina Eliantoniorise. At present, the value of data assets within the company is unclear, and there is no unified data asset pricing method to standardize pricing. The pricing of power data assets is an important basis for power data asset transactions. In order to solve the above problems, based on the analysis of