找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
樓主: genial
21#
發(fā)表于 2025-3-25 07:21:23 | 只看該作者
22#
發(fā)表于 2025-3-25 10:02:02 | 只看該作者
23#
發(fā)表于 2025-3-25 12:52:13 | 只看該作者
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.
24#
發(fā)表于 2025-3-25 15:55:13 | 只看該作者
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.
25#
發(fā)表于 2025-3-25 21:10:57 | 只看該作者
26#
發(fā)表于 2025-3-26 01:12:08 | 只看該作者
27#
發(fā)表于 2025-3-26 07:59:43 | 只看該作者
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.
28#
發(fā)表于 2025-3-26 11:27:35 | 只看該作者
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.
29#
發(fā)表于 2025-3-26 14:39:01 | 只看該作者
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.
30#
發(fā)表于 2025-3-26 20:04:10 | 只看該作者
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.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 20:59
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
鄂托克旗| 滨海县| 仁布县| 游戏| 咸宁市| 溧水县| 泾川县| 三门峡市| 泽库县| 芦山县| 武平县| 北京市| 石家庄市| 肥西县| 靖江市| 柞水县| 申扎县| 淮滨县| 榆社县| 永和县| 姚安县| 冀州市| 会宁县| 新宁县| 瑞安市| 平舆县| 浠水县| 乐陵市| 岳池县| 礼泉县| 乌兰县| 楚雄市| 资阳市| 偃师市| 博客| 迁西县| 二手房| 沾化县| 北京市| 安庆市| 南陵县|