BIS: Business Information Systems

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2021 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
BIS 2020 Business Information Systems
Jun 8, 2020 - Jun 10, 2020 University of Colorado, Colorado Springs Dec 10, 2019
BIS 2019 Business Information Systems
Jun 26, 2019 - Jun 28, 2019 Sevilla, Spain Jan 7, 2019
BIS 2016 19th International Conference on Business Information Systems
Jul 6, 2016 - Jul 8, 2016 Leipzig, Germany Jan 8, 2016
BIS 2014 International Conference on Business Information Systems
May 21, 2014 - May 23, 2014 Larnaca, Cyprus Jan 10, 2014
BIS 2013 16th International Conference on Business Information Systems
Jun 19, 2013 - Jun 21, 2013 Poznan, Poland Jan 22, 2013
BIS 2012 15th International Conference Business Information Systems
May 21, 2012 - May 23, 2012 Vilnius Jan 16, 2012
BIS 2011 14th International Conference on Business Information Systems
Jun 15, 2011 - Jun 17, 2011 Poznań, Poland Jan 21, 2011
BIS 2010 13th INTERNATIONAL CONFERENCE on BUSINESS INFORMATION SYSTEMS
May 3, 2010 - May 5, 2010 Berlin Dec 14, 2009
BIS 2009 12th International Conference on Business Information Systems
Apr 27, 2009 - Apr 29, 2009 Poznan, Poland Dec 7, 2008
BIS 2008 11th International Conference on Business Information Systems
May 5, 2008 - May 7, 2008 Innsbruck Dec 1, 2007
 
 

Present CFP : 2020

https://bisconf.org/2020/call-for-papers/

Data Science and Security in Business Information Systems

The growth of big data and ever-increasing connectivity combine to present both unique opportunity and risky exposure. Access to enormous quantities of data leads organizations to an interest in exploiting big data in a smart way. However, due to the attractiveness of accessible data stores, organizations must battle increased threats to data security. A broad approach allowing to extract a valuable knowledge from data is required for companies to make profits, be more competitive and survive in the even more dynamic and fast-changing environment all while protecting the data that assures their competitive edge, contains their intellectual property, and countenances their continued existence.

Data Science and Data Security are professions of today and the future, each requiring its unique set of knowledge and body of practice. Both rely on multiple fields of study, such as Mathematics, Statistics, Economics, Psychology, and Information Systems and use various scientific and practical methods, tools and systems. The key objective is to extract valuable information and infer knowledge from data for multiple purposes, starting from decision making, through product development, up to trend analysis and forecasting. Throughout the acquisition, storage, and manipulation of data, however, organizations must secure their data and system assets. Security requires effective technology and practices that deter, detect, and correct security violations, and an understanding of behaviors both benevolent and malevolent.

The BIS 2020 conference will foster the multidisciplinary discussion about Data Science and Security from both the scientific and practical sides, and its impact on current enterprises. Our goal is to inspire researchers to share theoretical and practical knowledge of different aspects related to Data Science and Security, and to help them transform their ideas into the innovations of tomorrow.
 

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