找回密碼
 To register

QQ登錄

只需一步，快速開(kāi)始

掃一掃，訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: New Horizons for a Data-Driven Economy; A Roadmap for Usage José María Cavanillas,Edward Curry,Wolfgang Wahlst Book‘‘‘‘‘‘‘‘ 2016 The Edito

[復(fù)制鏈接]
查看: 18659|回復(fù): 50
樓主
發(fā)表于 2025-3-21 17:47:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱New Horizons for a Data-Driven Economy
副標(biāo)題A Roadmap for Usage
編輯José María Cavanillas,Edward Curry,Wolfgang Wahlst
視頻videohttp://file.papertrans.cn/666/665337/665337.mp4
概述Provides the big picture on how to exploit big data, including technological, economic, political and societal issues.Details the complete lifecycle of the big data value chain, ranging from data acqu
圖書(shū)封面Titlebook: New Horizons for a Data-Driven Economy; A Roadmap for Usage José María Cavanillas,Edward Curry,Wolfgang Wahlst Book‘‘‘‘‘‘‘‘ 2016 The Edito
描述.In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. .The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Researc
出版日期Book‘‘‘‘‘‘‘‘ 2016
關(guān)鍵詞Big Data; Data Management; Data Value; Data-Driven Economy; Information Extraction; Information Integrati
版次1
doihttps://doi.org/10.1007/978-3-319-21569-3
isbn_softcover978-3-319-79353-5
isbn_ebook978-3-319-21569-3
copyrightThe Editor(s) (if applicable) and the Author(s) 2016
The information of publication is updating

書(shū)目名稱New Horizons for a Data-Driven Economy影響因子(影響力)




書(shū)目名稱New Horizons for a Data-Driven Economy影響因子(影響力)學(xué)科排名




書(shū)目名稱New Horizons for a Data-Driven Economy網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱New Horizons for a Data-Driven Economy網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱New Horizons for a Data-Driven Economy被引頻次




書(shū)目名稱New Horizons for a Data-Driven Economy被引頻次學(xué)科排名




書(shū)目名稱New Horizons for a Data-Driven Economy年度引用




書(shū)目名稱New Horizons for a Data-Driven Economy年度引用學(xué)科排名




書(shū)目名稱New Horizons for a Data-Driven Economy讀者反饋




書(shū)目名稱New Horizons for a Data-Driven Economy讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics
 

0票 0%

Better Implies Difficulty
 

0票 0%

Good and Satisfactory
 

0票 0%

Adverse Performance
 

0票 0%

Disdainful Garbage
您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:20:19 | 只看該作者
https://doi.org/10.1007/978-3-319-21569-3Big Data; Data Management; Data Value; Data-Driven Economy; Information Extraction; Information Integrati
板凳
發(fā)表于 2025-3-22 01:25:24 | 只看該作者
地板
發(fā)表于 2025-3-22 06:03:39 | 只看該作者
5#
發(fā)表于 2025-3-22 09:11:35 | 只看該作者
strates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Researc978-3-319-79353-5978-3-319-21569-3
6#
發(fā)表于 2025-3-22 16:14:47 | 只看該作者
Big Data Acquisitionor big data acquisition for companies. The second goal is to unveil the current approaches used for data acquisition in the different sectors. Finally, it discusses how the requirements of data acquisition are met by current approaches as well as possible future developments in the same area.
7#
發(fā)表于 2025-3-22 18:53:03 | 只看該作者
Big Data Curationmic models, incentive models, social aspects, and supporting standards. This analysis is grounded by literature research, interviews with domain experts, surveys, and case studies and provides an overview of the state-of-the-art, future requirements and emerging trends in the field.
8#
發(fā)表于 2025-3-22 22:20:41 | 只看該作者
Big Data Storageelational database systems, (2) the major technical barrier to widespread up-take of big data storage solutions are missing standards, and (3) there is a need to address open research challenges related to the scalability and performance of graph databases.
9#
發(fā)表于 2025-3-23 01:59:06 | 只看該作者
10#
發(fā)表于 2025-3-23 09:25:30 | 只看該作者
Big Data in the Public Sectore are open research questions to be addressed in order to develop such technologies so competitive and effective solutions can be built. The main developments are required in the fields of scalability of data analysis, pattern discovery, and real-time applications. Also required are improvements in
 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(ài)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(píng) 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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-10 05:19
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
万源市| 台东县| 成武县| 天津市| 金门县| 四子王旗| 崇义县| 南阳市| 宿松县| 文安县| 保山市| 长沙市| 甘泉县| 资源县| 偏关县| 兴仁县| 托克托县| 拜泉县| 新津县| 东乡县| 舟曲县| 巴彦县| 广州市| 贵南县| 黑山县| 古丈县| 共和县| 伊吾县| 南陵县| 石棉县| 永平县| 隆尧县| 辉南县| 枣阳市| 林芝县| 海兴县| 通化县| 旌德县| 随州市| 乐至县| 丰都县|