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: Systems, Algorithms, Applications; C.S.R. Prabhu,Aneesh Sreevallabh Chivukula,L.M. Je Textbook 2019 Springer Nature Si

[復(fù)制鏈接]
查看: 54336|回復(fù): 61
樓主
發(fā)表于 2025-3-21 16:41:00 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Big Data Analytics: Systems, Algorithms, Applications
影響因子2023C.S.R. Prabhu,Aneesh Sreevallabh Chivukula,L.M. Je
視頻videohttp://file.papertrans.cn/186/185628/185628.mp4
發(fā)行地址Presents the latest developments in data science algorithms, the output of which is highlighted in terms of the approaches to mining Big Data pursued by programmers, scientists, and managers.Documents
圖書封面Titlebook: Big Data Analytics: Systems, Algorithms, Applications;  C.S.R. Prabhu,Aneesh Sreevallabh Chivukula,L.M. Je Textbook 2019 Springer Nature Si
影響因子This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy.?.With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered.?.In turn,the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deuts
Pindex Textbook 2019
The information of publication is updating

書目名稱Big Data Analytics: Systems, Algorithms, Applications影響因子(影響力)




書目名稱Big Data Analytics: Systems, Algorithms, Applications影響因子(影響力)學(xué)科排名




書目名稱Big Data Analytics: Systems, Algorithms, Applications網(wǎng)絡(luò)公開度




書目名稱Big Data Analytics: Systems, Algorithms, Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data Analytics: Systems, Algorithms, Applications被引頻次




書目名稱Big Data Analytics: Systems, Algorithms, Applications被引頻次學(xué)科排名




書目名稱Big Data Analytics: Systems, Algorithms, Applications年度引用




書目名稱Big Data Analytics: Systems, Algorithms, Applications年度引用學(xué)科排名




書目名稱Big Data Analytics: Systems, Algorithms, Applications讀者反饋




書目名稱Big Data Analytics: Systems, Algorithms, Applications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

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-22 00:12:24 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:38:14 | 只看該作者
地板
發(fā)表于 2025-3-22 05:18:20 | 只看該作者
https://doi.org/10.1007/978-981-15-0094-7Big Data; Machine Learning; Internet of Things; Hadoop; NoSQL; Fog Computing
5#
發(fā)表于 2025-3-22 10:38:07 | 只看該作者
6#
發(fā)表于 2025-3-22 15:25:28 | 只看該作者
On Exponentials and Logarithms,The latest disruptive trends and developments in digital age comprise social networking, mobility, analytics and cloud, popularly known as SMAC. The year 2016 saw Big Data Technologies being leveraged to power business intelligence applications. What holds in store for 2020 and beyond?
7#
發(fā)表于 2025-3-22 20:45:28 | 只看該作者
Introduction to Analysis of the InfiniteThe ultimate goal of data science is to turn raw data into data products. Data analytics is the science of examining the raw data with the purpose of making correct decisions by drawing meaningful conclusions.
8#
發(fā)表于 2025-3-23 01:18:01 | 只看該作者
9#
發(fā)表于 2025-3-23 02:43:51 | 只看該作者
On Exponentials and Logarithms,In the context of Big Data Analytics and Social Networking, Semantic Web Mining is an amalgamation of three scientific areas of research: (1) Social Networking (2) Semantic Web and (3) Big Data Analytics, including Web Mining and Data Mining.
10#
發(fā)表于 2025-3-23 09:17:35 | 只看該作者
Introduction to Analysis of the InfiniteHaving surveyed in the last chapter how Big Data Analytics is applied in Social Semantic Web, in this chapter we shall delve into another very important application domain, IOT. We shall examine the interaction between IOT and Big Data Analytics.
 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 06:13
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
高台县| 延边| 文山县| 思南县| 日照市| 闽侯县| 海原县| 万全县| 南投县| 盐亭县| 泾川县| 轮台县| 富源县| 沈丘县| 大姚县| 稻城县| 湖北省| 嘉峪关市| 余庆县| 孙吴县| 怀柔区| 玛沁县| 安义县| 兴业县| 莱州市| 玉屏| 会东县| 航空| 砀山县| 西吉县| 成都市| 互助| 锦屏县| 凤庆县| 高碑店市| 陇南市| 淅川县| 静乐县| 宁海县| 高碑店市| 天等县|