Journal Title：Big Data

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.

《大數(shù)據(jù)》是領(lǐng)先的同行評審期刊，涵蓋收集、分析和傳播大量數(shù)據(jù)的挑戰(zhàn)和機遇。該期刊解答了圍繞這一強大且不斷發(fā)展的數(shù)據(jù)科學領(lǐng)域的問題，并促進了研究人員、企業(yè)經(jīng)理、分析師、開發(fā)人員、數(shù)據(jù)科學家、物理學家、統(tǒng)計學家、基礎(chǔ)設(shè)施開發(fā)人員、學者和政策制定者的努力，以改善其企業(yè)和機構(gòu)內(nèi)的運營、盈利能力和溝通。

該期刊涵蓋了廣泛的學科，重點關(guān)注新穎的大數(shù)據(jù)技術(shù)、政策和創(chuàng)新，它匯集了社區(qū)以應(yīng)對當前的挑戰(zhàn)，并采取有效的措施來組織、存儲、傳播、保護、操縱，最重要的是，找到最有效的策略，使這些海量的信息為社會、行業(yè)、學術(shù)界和政府帶來利益。

大數(shù)據(jù)報道包括：

大數(shù)據(jù)行業(yè)標準，

專門為大數(shù)據(jù)開發(fā)的新技術(shù)，

數(shù)據(jù)獲取、清理、分發(fā)和最佳實踐，

數(shù)據(jù)保護、隱私和政策，

從研究到產(chǎn)品，

商業(yè)智能的角色變化，

大數(shù)據(jù)基礎(chǔ)設(shè)施的可視化和設(shè)計原則，

物理接口和機器人技術(shù)，

Facebook、Twitter、Amazon、Google 等的社交網(wǎng)絡(luò)優(yōu)勢，

大數(shù)據(jù)帶來的機遇以及公司如何利用大數(shù)據(jù)為自己謀利。

Big Data創(chuàng)刊于2013年，由Mary Ann Liebert Inc.出版商出版，收稿方向涵蓋COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS - COMPUTER SCIENCE, THEORY & METHODS全領(lǐng)域，此期刊水平偏中等偏靠后，在所屬細分領(lǐng)域中專業(yè)影響力一般，過審相對較易，如果您文章質(zhì)量佳，選擇此期刊，發(fā)表機率較高。平均審稿速度 ，影響因子指數(shù)2.6，該期刊近期沒有被列入國際期刊預(yù)警名單，廣大學者值得一試。