{"id":1336,"date":"2018-03-09T22:47:00","date_gmt":"2018-03-10T01:47:00","guid":{"rendered":"http:\/\/eic.cefet-rj.br\/ppcic\/?p=1336"},"modified":"2025-09-03T18:56:20","modified_gmt":"2025-09-03T21:56:20","slug":"latin-america-data-science-workshop","status":"publish","type":"post","link":"https:\/\/eic.cefet-rj.br\/ppcic\/latin-america-data-science-workshop\/","title":{"rendered":"Latin America Data Science Workshop"},"content":{"rendered":"
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The First Latin America Workshop on Data Science (LADaS 2018)<\/div>\n
A VLDB 2018<\/a> workshop<\/div>\n
August 27, 2018<\/div>\n
Rio de Janeiro, Brazil<\/div>\n

http:\/\/eic.cefet-rj.br\/ladas2018<\/a><\/p>\n

CALL FOR PAPERS<\/p>\n

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Dealing with the data deluge produced nowadays in different areas, ranging from basic sciences to billions of users of Global Internet services, emerges as one of the major challenges of our digital society. Presented as a multifaceted vector, this phenomenon has motivated several research initiatives. In science, Big Data has created new opportunities for investigation, motivating scientists, such as biologists, astronomers, biochemists, and researchers from other scientific areas, to face computational problems within the so-called \u201cfourth paradigm\u201d (data-intensive science). In industry, Big Data impacts the way predictive analysis\/data analytics is conducted using powerful resources (clusters, clouds) while providing scalability and fault-tolerance. In the governance, there are opportunities to look into massive public databases to generate efficient planning as well as new services that may improve public services offered to citizens. In this context, the major challenge is to provide general methods for extracting relevant knowledge at big data scale. Data Science incorporates scientific methods, processes, and algorithms to extract knowledge from data in various forms. It builds upon techniques and theories from many fields in engineering and basic sciences. It is thus closely related to many traditional well-established disciplines but opens perspectives for a new highly-interdisciplinary area.<\/p>\n

The goal of the 2018 Latin American Workshop on Data Science (LADaS 2018) is to provide a forum for scientists, engineers and researchers to discuss and exchange novel ideas, results, experiences, and work-in-progress on all aspects of Data Science.<\/p>\n

The workshop intends to attract relevant contributions ranging from theoretical work to applications of Data Science in different areas of knowledge, including proposals involving new methodological artifacts in the area. Therefore, besides offering an opportunity for the Latin American community interested in Data Science to meet and attend VLDB, the workshop also proposes to act as a neutral ground for different Data Science research interests. It intends to provide a forum for networking among researchers whose primary interests are in methodological advancements with those interested in data-driven analysis applied to different fields of knowledge<\/p>\n

Accepted papers will be included in the\u00a0will be published in the Online Proceedings for Scientific Conferences and Workshops (http:\/\/ceur-ws.org<\/a>). At least one of the authors of an accepted paper must register and present the paper.<\/p>\n

Topics of interest include, but are not limited to the following:<\/p>\n