2015 ENBIS Spring Meeting: First Announcement

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  • Author: Statistics Views
  • Date: 20 January 2015
  • Copyright: Image appears courtesy of iStock Photo

ENBIS have shared details of their 2015 Spring Meeting, which will take place on 4 and 5 June 2015 in Barcelona.  The theme will be "Predictive Analytics with Big and Complex Data". The meeting has been organised by UPC|BarcelonaTech and Societat Catalana d'Estadística.

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Data storage and processing have grown tremendously over the last decades. The current big data environment involves high-volume amounts of data coming from different unstructured sources at high frequencies. These characteristics pose challenges to classical statistical data analysis methods. In fact, many analytical techniques to deal with big and complex data have been developed by researchers coming from computer science and information technologies areas of knowledge.

Statistics must play an important role in the process of turning data into useful information for management. There are many issues (such as dealing with spurious associations, time-series dependencies, difficulties to develop explicatory models and not just descriptive analysis) that can and should be dealt with by statisticians.

The purpose of the 2015 ENBIS Spring Meeting is to illuminate the role of statistics in predictive analytics with big and complex data and elaborate on how research from different fields can synergistically contribute to better exploitation of data for analytical purposes.

The preliminary programme of the meeting is as follows:

Thursday 4 June (morning): 2 keynote speakers followed by an open discussion
Thursday 4 June (afternoon): oral presentations
Friday 5 June (morning): 2 keynote speakers followed by an open discussion
Friday 5 June (afternoon): workshop on predictive analytics with JMP

The deadline for submitting an abstract (between 200-400 words) is 16 March 2015.

For further details please contact the 2015 ENBIS Spring Meeting organizers Xavier Tort-Martorell (Xavier.tort@upc.edu) and Lluis Marco-Almagro (lluis.marco@upc.edu).

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Published features on StatisticsViews.com are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and StatisticsViews.com express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.