標(biāo)題: Titlebook: Big Data – BigData 2022; 11th International C Bo Hu,Yunni Xia,Liang-Jie Zhang Conference proceedings 2022 The Editor(s) (if applicable) and [打印本頁(yè)] 作者: genial 時(shí)間: 2025-3-21 17:44
書(shū)目名稱(chēng)Big Data – BigData 2022影響因子(影響力)
書(shū)目名稱(chēng)Big Data – BigData 2022影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Big Data – BigData 2022網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Big Data – BigData 2022網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Big Data – BigData 2022被引頻次
書(shū)目名稱(chēng)Big Data – BigData 2022被引頻次學(xué)科排名
書(shū)目名稱(chēng)Big Data – BigData 2022年度引用
書(shū)目名稱(chēng)Big Data – BigData 2022年度引用學(xué)科排名
書(shū)目名稱(chēng)Big Data – BigData 2022讀者反饋
書(shū)目名稱(chēng)Big Data – BigData 2022讀者反饋學(xué)科排名
作者: conservative 時(shí)間: 2025-3-21 21:30 作者: Complement 時(shí)間: 2025-3-22 02:42
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作者: fluoroscopy 時(shí)間: 2025-3-22 07:02
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.作者: 無(wú)法解釋 時(shí)間: 2025-3-22 12:26
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作者: 不確定 時(shí)間: 2025-3-22 16:21 作者: 共同時(shí)代 時(shí)間: 2025-3-22 17:35
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作者: 廚房里面 時(shí)間: 2025-3-22 21:32 作者: 預(yù)感 時(shí)間: 2025-3-23 04:38 作者: Indent 時(shí)間: 2025-3-23 07:09
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作者: conduct 時(shí)間: 2025-3-23 12:41 作者: 表主動(dòng) 時(shí)間: 2025-3-23 16:33 作者: 彎曲的人 時(shí)間: 2025-3-23 18:43 作者: FLAG 時(shí)間: 2025-3-23 22:14
Big Data – BigData 2022978-3-031-23501-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: vertebrate 時(shí)間: 2025-3-24 02:31 作者: 死貓他燒焦 時(shí)間: 2025-3-24 09:47 作者: evasive 時(shí)間: 2025-3-24 11:08
978-3-031-23500-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: GROUP 時(shí)間: 2025-3-24 15:54 作者: 啜泣 時(shí)間: 2025-3-24 20:15
Research on the Pricing Method of Power Data Assets, power data assets, combined with common data asset valuation methods, this paper proposes production pricing method. It is hoped that through the pricing of power data assets, the transaction process of power data assets will be promoted and the development of the digital economy will be promoted.作者: aristocracy 時(shí)間: 2025-3-24 23:25
Big Data Technology in Real Estate Industry: Scenarios and Benefits,t the application and analyzing some successful cases of big data technology in the real estate industry, this paper clarifies the common application scenarios and evaluating the performance of big data technology. In addition, the authors providing some suggestion for the future application of big data technology in the real estate industry.作者: musicologist 時(shí)間: 2025-3-25 07:21 作者: 結(jié)果 時(shí)間: 2025-3-25 10:02 作者: 表狀態(tài) 時(shí)間: 2025-3-25 12:52
https://doi.org/10.1007/978-3-319-06910-4ta assets according to the power data flow process, and proposes the confirmation of the power data assets. Method. It is hoped that through the confirmation of power data assets, the realization of open sharing of power data assets will be promoted.作者: 帶來(lái)的感覺(jué) 時(shí)間: 2025-3-25 15:55
Research and Design on the Confirmation Method of Power Data Assets,ta assets according to the power data flow process, and proposes the confirmation of the power data assets. Method. It is hoped that through the confirmation of power data assets, the realization of open sharing of power data assets will be promoted.作者: indicate 時(shí)間: 2025-3-25 21:10 作者: isotope 時(shí)間: 2025-3-26 01:12 作者: 委派 時(shí)間: 2025-3-26 07:59
Chris Backes,Mariolina Eliantoniof the aerospace enterprise. We focus on the research of data resource directory standard, data resource inventory, and data resource directory framework. We introduce the application practice of the data resource directory system of the aerospace enterprise, which verifies the effectiveness and practicability of this system.作者: nitroglycerin 時(shí)間: 2025-3-26 11:27
Chris Backes,Mariolina Eliantonio power data assets, combined with common data asset valuation methods, this paper proposes production pricing method. It is hoped that through the pricing of power data assets, the transaction process of power data assets will be promoted and the development of the digital economy will be promoted.作者: Alienated 時(shí)間: 2025-3-26 14:39
Chris Backes,Mariolina Eliantoniot the application and analyzing some successful cases of big data technology in the real estate industry, this paper clarifies the common application scenarios and evaluating the performance of big data technology. In addition, the authors providing some suggestion for the future application of big data technology in the real estate industry.作者: Instrumental 時(shí)間: 2025-3-26 20:04
https://doi.org/10.1007/978-3-319-06910-4ugment the performance of massive data retrieval. Specifically, we store the Rowkey and index information in elasticsearch to help accelerate the querying of Hbase. Then an experiment in real use case is used to verify the effectiveness of presented method.作者: bleach 時(shí)間: 2025-3-26 21:55
https://doi.org/10.1007/978-3-319-06910-4tent Dirichlet Allocation and solving the information retrieval problem via finding document similarities in the topic space rather than doing it in the corpus vocabulary space. We also used the TF-IDF method in LDA to improve its performance. We report the results of our experiments on the ENRON dataset in the electronic discovery domain.作者: 要素 時(shí)間: 2025-3-27 02:07 作者: legitimate 時(shí)間: 2025-3-27 08:37
,A Massive Data Retrieval Method for?Power Information Collection Systems,ugment the performance of massive data retrieval. Specifically, we store the Rowkey and index information in elasticsearch to help accelerate the querying of Hbase. Then an experiment in real use case is used to verify the effectiveness of presented method.作者: 彎彎曲曲 時(shí)間: 2025-3-27 10:53
,Topic Modeling in?the?ENRON Dataset,tent Dirichlet Allocation and solving the information retrieval problem via finding document similarities in the topic space rather than doing it in the corpus vocabulary space. We also used the TF-IDF method in LDA to improve its performance. We report the results of our experiments on the ENRON dataset in the electronic discovery domain.作者: Abjure 時(shí)間: 2025-3-27 15:09 作者: 彎腰 時(shí)間: 2025-3-27 20:59
,A Massive Data Retrieval Method for?Power Information Collection Systems,for 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作者: NEEDY 時(shí)間: 2025-3-28 00:57
Research and Application of the Data Resource Directory System of the Aerospace Enterprise,sistent standard rules. It is necessary to carry out data governance work systematically. In order to improve the standardization of data governance work such as data classification, data sharing and data accountability of the aerospace enterprise, we research on the data resource directory system o作者: bourgeois 時(shí)間: 2025-3-28 05:00
Performance Analysis of Cross-Border Mergers and Acquisitions of Baiyuan Pants Industry in the Inteterprises 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作者: 山崩 時(shí)間: 2025-3-28 08:00
,Topic Modeling in?the?ENRON Dataset,rocedure in a prosecution or legal investigation in many countries. There are challenges in e-discovery, such as cost and time consumption of the information retrieval process. Hence, natural language processing (NLP) is a key component in solving this problem, and we show using our case study that 作者: Munificent 時(shí)間: 2025-3-28 13:08
