会议简介

SDS2019 brings together opinion-leaders, practitioners, decision-makers and researchers with interest in Data Science. The goal is to foster the exchange of ideas for innovative products and services especially for the Swiss market and to sustain the community of Data Scientists.

SDS2019 will have talks in 2 distinct streams of academic and business contributions. The accepted academic paper proceedings will be published in IEEE Xplore digital library. For businesses, talks having business impact and data-driven innovation concepts are invited and will be presented.

Get access to trends, innovations, and technologies that you can directly use for the development of your products, solutions, and applications based on data, and use the breaks for networking and discussion with peers.

征稿信息

征稿简介

SDS2019 will have talks in 2 distinct streams of academic and business contributions. The accepted academic paper proceedings will be published in IEEE Xplore digital library. For businesses, talks having business impact and data-driven innovation concepts are invited and will be presented.

作者指南

All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book. Concurrent submissions are strictly forbidden. If it is determined that a manuscript is simultaneously under the consideration by another publication venue, the manuscript will be rejected. Submission of papers implies intention to register and present the related content at the conference. The academic program committee will carefully review the submissions. Excellent content and presentation as demonstrated in the submission are mandatory for acceptance. Accepted submissions will be presented in English by the authors at the conference. Proceedings papers presented at the conference will be submitted for inclusion in the IEEE Xplore digital library. All submissions must be formated by following the following the IEEE 8.5” x 11” two-column format.

征稿主题

artificial intelligence and autonomous machines

big data mining and analytics

data mining applications in healthcare, finance, and industry

data ethics and society

data integration, governance, and sharing

data intelligence and security

machine learning

natural language processing and analysis

predicitive modelling and analytics

spatial data analysis

techniques and tools for data science

user interfaces and data visualization

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联系我们

  • conference@data-service-alliance.ch

主办单位

  • University of Zürich

支持单位

  • Swiss Alliance for Data-Intensive Services