计算机科学期刊_成为数据科学家的五种科学期刊
计算机科学期刊
The field of data science is advancing at an incredible pace. New scientific articles are published daily. As a student, I try to stay up-to-date with the scientific literature that is published. In this blog post, I created a list of scientific journals that I believe every data scientist should follow. The journals are prented in no particular order.
数据科学 吨 他现场以惊⼈的速度在前进。 每天都会发表新的科学⽂章。 作为⼀名学⽣，我尝试与最新的科学⽂献保持同步。 在此博客⽂章中，我创建了⼀份科学期刊列表，我相信每位数据科学家都应遵循。 期刊的排列顺序不分先后。
国际数据科学与分析杂志 (International Journal of Data Science and Analytics)
的日子The journal welcomes experimental and theoretical findings on data science and advanced analytics along with their applications to real-life situations.
该期刊欢迎有关数据科学和⾼级分析的实验和理论发现，以及它们在现实⽣活中的应⽤。
The first scientific journal on the list is the International Journal of Data Science and Analytics (JDSA). This is no surpri since this was the first scientific journal in data science and analytics. The editor-in-chief is from the in Sydney, Australia.
名单上的第⼀本科学期刊是《国际数据科学与分析期刊(JDSA)》。 这并不奇怪，因为这是第⼀本数据科学和分析科学期刊。 主编是澳⼤利亚悉尼 。
The journal contains articles from many subdomains in data science mostly focussing on machine learning and big data. It brings together thought leaders, rearchers, industry practitioners, and potential urs of data science and analytics, to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote transdisciplinary and cross-domain collaborations [].
该期刊包含来⾃数据科学许多⼦领域的⽂章，主要侧重于机器学习和⼤数据。 它汇集了思想领袖，研究⼈员，⾏业从业⼈员以及数据科学和分析的潜在⽤户，以开发该领域，讨论新趋势和机遇，交流思想和实践并促进跨学科和跨领域的合作[ ]。
Link to a recent edition:
六年级上册比链接到最新版本：
数据挖掘与知识发现 (Data Mining and Knowledge Discovery)
The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diver constituent rearch communities.
该领域的主要技术出版物“数据挖掘和知识发现”是收集相关通⽤⽅法和技术的资源，也是统⼀各种组成研究社区的论坛。
The Data Mining and Knowledge Discovery journal was founded in 1997 and has grown to one of the most influential journals in the field []. The current editor-in-chief is from the .
数据挖掘和知识发现期刊创建于1997年，现已发展成为该领域最具影响⼒的期刊之⼀[ ]。 ⽬前的主编是 。
小白兔的图片大全
The journal publishes original technical papers in both the rearch and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications [].
该期刊发表有关数据挖掘和知识发现的研究与实践，重要领域和技术的调查和教程以及重要应⽤的详
细说明[ ]的原始技术论⽂。
Link to a recent edition:
链接到最新版本：
IEEE知识与数据⼯程学报 (IEEE Transactions on Knowledge and Data Engineering)
TKDE is an archival journal published monthly designed to inform rearchers, developers, managers, strategic
planners, urs, and others interested in state-of-the-art and state-of-the-practice activities in the knowledge and data engineering area.
TKDE是每⽉出版的⼀份归档期刊，旨在为研究⼈员，开发⼈员，管理⼈员，战略规划⼈员，⽤户以及对知识和数据⼯程领域的最新活动和实践活动感兴趣的其他⼈员提供信息。
The Institute of Electrical and Electronics Engineers (IEEE) produces over 30% of the world’s literature in the electrical and electronics engineering and computer science fields, publishing well over 100 and magazines; it also sponsors over 1800 and events []. The IEEE Transactions on Knowl
edge and Engineering (TKDE) focuss on knowledge and data engineering []. The editor-in-chief of the journal is from the .
电⽓和电⼦⼯程师协会(IEEE)在电⽓和电⼦⼯程和计算机科学领域的著作占全球的30％以上，出版了100多种和杂志； 它还赞助了1800多个和活动[ ]。 IEEE知识与⼯程事务(TKDE)专注于知识与数据⼯程[ ]。 编辑总司令该杂志是来⾃ 。
To reflect the current trends in knowledge and data engineering rearch and development practice, TKDE gives priority to submissions on emerging topics, including but not limited to big data and applications, and new frontiers of knowledge and data engineering, such as social networks, social media, and crowdsourcing [].
为了反映知识和数据⼯程研究和开发实践的当前趋势， TKDE优先考虑新兴主题的提交，包括但不限于⼤数据和应⽤以及知识和数据⼯程的新领域，例如社交⽹络，社交媒体，以及众包[ ]。
Link to a recent publication:
链接到最新出版物：
⼈⼯智能 (Artificial Intelligence)
道德的作用
The journal of Artificial Intelligence (AIJ)welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to, cognition and AI, automated reasoning and inference, ca-bad reasoning, commonn reasoning, computer vision, constraint processing, ethical…
⼈⼯智能杂志(AIJ) 欢迎有关AI⼴泛⽅⾯的论⽂，这些⽅⾯构成了整个领域的进步，包括但不限于认知和AI，⾃动推理和推理，基于案例的推理，常识性推理，计算机视觉，约束处理，道德...
提供同义词
Artificial Intelligence, which commenced publication in 1970, is now the generally accepted premier international forum for the publication of results of current rearch in this field []. The editors-in-chief are from the and from the .
⼈⼯智能始于1970年，现已成为该领域当前研究成果发表的公认的主要国际论坛[ ]。 主编是 和 。
Apart from regular papers, the journal also accepts rearch notes, rearch field reviews, position papers, and book reviews. Occasionally, the journal also publishes special editions that are focud on a particular topic.
除常规论⽂外，该期刊还接受研究笔记，研究领域评论，⽴场论⽂和书评。 有时，该杂志还会发布针对特定主题的特别版本。
Link to a recent publication:
链接到最新出版物：
⼤数据 (Big Data)
The Journal of Big Data publishes high-quality, scholarly rearch papers, methodologies and ca studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data rearch.
《⼤数据杂志》发表了⾼质量的学术研究论⽂，⽅法论和案例研究，涵盖了从⼤数据分析到数据密集型计算以及⼤数据研究的所有应⽤的⼴泛主题。
The Journal of Big Data is an open-access journal who papers van be accesd for free on their . The journal occasionally publishes highly innovative articles []. The editors-in-chief of the journal are and from the
《⼤数据杂志》是⼀种开放式期刊 ，可以在其上免费获取论⽂。 该期刊偶尔会发表⾼度创新的⽂章[ ]。 该杂志的是 和
The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; arch, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databas; and scalable storage systems [].
该期刊探讨了当今和未来⼤数据所⾯临的挑战，包括但不限于：数据捕获和存储； 搜索，共享和分析； ⼤数据技术； 数据可视化； ⼤规模并⾏处理的架构； 数据挖掘⼯具和技术； ⼤数据的机器学习算法； 云计算平台； 分布式⽂件系统和数据库； 和可扩展的存储系统[ ]。公务员是什么意思
Link to articles:余切函数公式
链接到⽂章：
The are the five journals that I would recommend to follow. There are many more journals in the field of data science. I never intended this list to be a comprehensive overview of scientific data science publications. This blog post only discuss journals, but there are more ways to stay up-to-date with the scientific community. If you know other great sources for scientific studies, feel free to post them in the comments.
这些是我建议遵循的五种期刊。数据科学领域还有许多期刊。我从未希望此列表成为科学数据科学出版物的全⾯概述。该博客⽂章仅讨论期刊，但是有更多⽅法可以与科学界保持同步。如果您知道其他重要的科学研究资源，请随时在评论中发布它们。
计算机科学期刊
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