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 Analytics: A Management Perspective; Francesco Corea Book 2016 Springer International Publishing Switzerland 2016 Big Data for Ma

[復(fù)制鏈接]
樓主: 灰塵
11#
發(fā)表于 2025-3-23 13:28:19 | 只看該作者
Key Data Challenges to Strategic Business Decisions,how to promise a fair data treatment; how to manage data in case of special situation such as initial public offerings, growth strategies, mergers and acquisitions; how to handle data in emerging and growing markets. Furthermore, the idea of a data ecosystem will be sketched out in this chapter.
12#
發(fā)表于 2025-3-23 15:00:35 | 只看該作者
13#
發(fā)表于 2025-3-23 18:35:44 | 只看該作者
14#
發(fā)表于 2025-3-24 00:31:53 | 只看該作者
Where Are We Going? The Path Toward an Artificial Intelligence,ey are only one step toward a more revolutionizing advancement, i.e., the Artificial Intelligence. The ability to handle a huge amount of data and the capacity to harness their power will eventually allow us to design algorithms and hardware that could at least approximate, if not fully reproduce, t
15#
發(fā)表于 2025-3-24 03:25:00 | 只看該作者
Conclusions,usiness to the next level. It is a fast-pace environment, and things that work today may not apply tomorrow, so instead on concluding with strong statements written in stone, it is preferable to provide some final thoughts in form of pieces of advice.
16#
發(fā)表于 2025-3-24 09:55:27 | 只看該作者
17#
發(fā)表于 2025-3-24 13:36:50 | 只看該作者
18#
發(fā)表于 2025-3-24 18:45:33 | 只看該作者
https://doi.org/10.1007/978-3-319-38992-9Big Data for Management; Data Science; Data Analytics; Big Data Guidelines for Managers; Business Big Da
19#
發(fā)表于 2025-3-24 20:30:24 | 只看該作者
978-3-319-81786-6Springer International Publishing Switzerland 2016
20#
發(fā)表于 2025-3-25 02:36:39 | 只看該作者
Introduction to Algebraic Topologynowadays. Some of the most?common?applications will be listed, and a short literature review will be discussed. After this short introduction, the reader should be able to understand what big data and data science are, what has been done so far and what is the current state of art, as well as having
 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 期刊點評 投稿經(jīng)驗總結(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, 2025-10-8 07:01
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
来宾市| 齐齐哈尔市| 农安县| 长汀县| 罗江县| 二连浩特市| 汝阳县| 富民县| 民权县| 万宁市| 沂源县| 南皮县| 台中县| 错那县| 宣恩县| 昌黎县| 台湾省| 沈丘县| 中西区| 墨脱县| 庆云县| 荃湾区| 霍州市| 黑水县| 闵行区| 固始县| 绵竹市| 大兴区| 武夷山市| 宜兴市| 鹤山市| 房山区| 手机| 温州市| 绥芬河市| 双鸭山市| 乌海市| 从江县| 海丰县| 房产| 吉林省|