Big Data

Big Data英文簡介

Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions.

Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government.

Big Data coverage includes:

Big data industry standards,

New technologies being developed specifically for big data,

Data acquisition, cleaning, distribution, and best practices,

Data protection, privacy, and policy,

Business interests from research to product,

The changing role of business intelligence,

Visualization and design principles of big data infrastructures,

Physical interfaces and robotics,

Social networking advantages for Facebook, Twitter, Amazon, Google, etc,

Opportunities around big data and how companies can harness it to their advantage.

Big Data中文簡介

《Big Data》是一本由Mary Ann Liebert Inc.出版商出版的專業(yè)工程技術(shù)期刊，該刊創(chuàng)刊于2013年，刊期4 issues/year，該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄。在中科院最新升級版分區(qū)表中，該刊分區(qū)信息為大類學(xué)科：計(jì)算機(jī)科學(xué) 4區(qū)，小類學(xué)科：計(jì)算機(jī)：跨學(xué)科應(yīng)用 4區(qū)；計(jì)算機(jī)：理論方法 4區(qū)；在JCR（Journal Citation Reports）分區(qū)等級為Q1。該刊發(fā)文范圍涵蓋計(jì)算機(jī)：跨學(xué)科應(yīng)用等領(lǐng)域，旨在及時(shí)、準(zhǔn)確、全面地報(bào)道國內(nèi)外計(jì)算機(jī)：跨學(xué)科應(yīng)用工作者在該領(lǐng)域取得的最新研究成果、工作進(jìn)展及學(xué)術(shù)動(dòng)態(tài)、技術(shù)革新等，促進(jìn)學(xué)術(shù)交流，鼓勵(lì)學(xué)術(shù)創(chuàng)新。2021年影響因子為4.426，

中科院分區(qū)最新升級版（當(dāng)前數(shù)據(jù)版本：2021年12月最新升級版）

大類學(xué)科	分區(qū)	小類學(xué)科	分區(qū)	Top期刊	綜述期刊
計(jì)算機(jī)科學(xué)	4區(qū)	COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計(jì)算機(jī)：跨學(xué)科應(yīng)用 COMPUTER SCIENCE, THEORY & METHODS 計(jì)算機(jī)：理論方法	4區(qū) 4區(qū)	否	否

中科院分區(qū)最新基礎(chǔ)版（當(dāng)前數(shù)據(jù)版本：2021年12月最新基礎(chǔ)版）

大類學(xué)科	分區(qū)	小類學(xué)科	分區(qū)	Top期刊	綜述期刊
工程技術(shù)	3區(qū)	COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 計(jì)算機(jī)：跨學(xué)科應(yīng)用 COMPUTER SCIENCE, THEORY & METHODS 計(jì)算機(jī)：理論方法	4區(qū) 3區(qū)	否	否

中科院JCR分區(qū)歷年趨勢圖

JCR分區(qū)（當(dāng)前數(shù)據(jù)版本：2021-2022年最新版）

JCR分區(qū)等級	JCR所屬學(xué)科	分區(qū)	影響因子
Q1	COMPUTER SCIENCE, THEORY & METHODS	Q1	4.426
	COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	Q2

期刊指數(shù)

影響因子	h-index	Gold OA文章占比	研究類文章占比	OA開放訪問	平均審稿速度
4.426	17	1.89%	97.78%	未開放	--

IF值(影響因子)趨勢圖