Intro to Data Visualization Additional Reading About Data Vis

The ACM Transactions on Knowledge Discovery from Data (TKDD) welcomes papers on a full range of research in the knowledge discovery and analysis of diverse forms of data. Such subjects include: scalable and effective algorithms for data mining and data warehousing, mining data streams, mining multi-media data, mining high-dimensional data, mining text, Web, and semi-structured data, mining spatial and temporal data, data mining for community generation, social network analysis, and graph structured data, security and privacy issues in data mining, visual, interactive and online data mining, pre-processing and post-processing for data mining, robust and scalable statistical methods, data mining languages, foundations of data mining, KDD framework and process, and novel applications and infrastructures exploiting data mining technology.

Big Data & Society (BD&S) is an Open Access peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies.

Big Data Analytics is no longer actively published as of December 31, 2020, but the archives are still available!

IEEE conference proceedings for Big Data Visual Analytics (BDVA).

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 diverse constituent research communities. The journal publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications.

The IEEE Transactions on Big Data publishes peer reviewed articles with big data as the main focus. The articles will provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications.

IEEE Transactions on Visualization and Computer Graphics (TVCG) publishes papers on subjects related to computer graphics, information and scientific visualization, visual analytics, virtual and augmented reality, focusing on theory, algorithms, methodologies, human-computer interaction techniques, systems, software, hardware, and applications in these areas.

Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization.

Provides a forum for the examination of issues related to the research & applications of Artificial Intelligence techniques in data analysis across a variety of disciplines.

This journal publishes high-quality, scholarly research papers, position papers, and case studies covering hardware platforms and architectures, development of software methods, techniques and tools, applications and governance and adoption strategies for the use of big data in healthcare and clinical research.

International Journal on Informatics Visualization (JOIV) is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspect of Computer Science, Computer Engineering, Information Technology, and Visualization. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion, and concise conclusion.

The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered.

Digital Humanities is a convergence of humanities fields (linguistic, sociology, history, psychology…) using data archives, processing and interaction. Data mining is an interdisciplinary subfield of computer science, involving the methods at the intersection of artificial intelligence, machine learning and database systems. The Journal of Data Mining & Digital Humanities is concerned with the intersection of computing and the disciplines of the humanities, with tools provided by computing such as data visualisation, information retrieval, statistics, text mining by publishing scholarly work beyond the traditional humanities.

The Journal of Geovisualization and Spatial Analysis (JGSA) provides an advanced forum for theories and applications of geospatial analysis and visualization. The journal serves diverse fields such as cartography, geographic information science/systems, remote sensing, location-based services, photogrammetry, geology, etc.

Visual Informatics is a peer-reviewed online journal published on the platform of Elsevier. It is dedicated to the development and application of theories, algorithms and technologies associated with visual data acquisition, analysis, synthesis, perception, enhancement and applications.

A curated selection of visually interesting datasets collected by local, state and federal government agencies by Jon Keegan.

Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations, and more.

A collection of useful tools for data visualization, including data sources, data visualization blogs, tools (code, web apps), podcasts, conferences, and much more!

A weekly newsletter that dives into the data behind the news. Each Saturday, national correspondent Philip Bump makes and breaks down charts explaining the latest in economics, pop culture, politics and more.

Founded by David McCandless, author of three bestselling infographics books, Information is Beautiful is dedicated to making sense of the world with graphics & data-visuals. We set out to explain, distill and clarify. All our visualizations are based on facts and data: constantly updated, revised and revisioned.

Poverty, disease, hunger, climate change, war, existential risks, and inequality: The world faces many great and terrifying problems. Our World in Data’s mission is to publish the “research and data to make progress against the world’s largest problems.”

A collection of some of the many data visualisation (and related) tools, applications, toolkits, libraries, platforms, and packages. Organised loosely around several categories, based on the best-fit descriptive characteristic or primary purpose, this collection has been curated since around 2010 to provide readers with as current and as comprehensive a view as possible of the visualisation technology landscape. The featured image above is a screenshot of the previous iteration of this resources catalogue, which was the most popular page on this website for many years.