Call for Papers – I3E 2015 Conference: ‚Open and Big Data Management & Innovation‘

14th IFIP Conference on e-Business, e-Services and e-Society (I3E 2015)
Conference Theme: „Open and Big Data Management & Innovation“
13-15 October 2015, Delft, The Netherlands

KEYNOTES, WORKSHOP AND TUTORIALS

During the conference the Fourth Workshop on IT-Enabled Resilient, Seamless, and Secure Global Supply Chains (WITNESS 2015) will be held: Special Events

PAPER SUBMISSION AND PROCEEDINGS

The conference will facilitate a double-blind review process: Submission Website
Accepted papers will be included in the IFIP Springer proceedings: last year proceedings

IMPORTANT DEADLINES

15 May paper submission
1 July notification of reviewing results
1 August final papers

The I3E 2015 Conference will be organized in Delft sponsored by IFIP TC6 WG 6.11. Information economy and openness are the dominating terms over the last couple of years. Data has become widely available and many innovations are based on the utilization of data. The Internet of Things (IoT) enables the availability of large volumes of data, whereas people create data using social media. Today we have a worldwide exchange of data and this influences our society, resulting in new business opportunities and new services. This already has resulted in the rise of ‚data science‘ which aims at better understanding how to use all this data in our information society and how it can co-evolve with its information and communication technology (ICT). This needs to make the theory of complex systems applicable to the information society.

Furthermore there is a lack of tools and instruments to deal with the vast amount of data. Big data will have a major influence on the operating of businesses and the functioning of society. This conference solicits for advancement in tools for such areas like data analytics, mining, visualization, sensor networks, information retrieval, and information extraction and also research relating to data extraction and analytics, statistical inference, data quality and related issues such as bias, missing data, endogeneity, user interface and visualization are encouraged. Papers can be in the field of technology, business, society or combinations.

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