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Workshop: Predictive Analytics: Theory, Applications and Algorithms

Brought to you by Anglia Ruskin University

This workshop is intended as a forum for discussion and evaluation of new and recent research, applications and algorithms in this field.

Registration for this event is now closed.

About the event

The International Institute of Forecasters (IIF) in collaboration with Anglia Ruskin UniversitySiemens AG Munich and the German Operations Research Society are organizing a one and half day international workshop on 23-24 May 2019, titled “Predictive Analytics: Theory, Applications and Algorithms”. The workshop will be held in Cambridge, United Kingdom, at Hughes Hall, a College of the University of Cambridge.

Workshop Theme

According to SAS, “Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to go beyond knowing what has happened to providing a best assessment of what will happen in the future”.

Predictive analytics enables and help organizations to become more proactive and anticipate outcomes and behaviors from the data. It uses many techniques from data mining, statistics, operational research, econometrics, modeling, machine learning, and artificial intelligence to analyze available data to make predictions and forecasts. Applications of predictive analytics are widespread, from detecting fraud, optimizing marketing campaigns, detecting hidden sources of market power and bottlenecks, to improving operations, policies, cross selling and reducing risk.
This workshop is intended as a forum for discussion and evaluation of new and recent research, applications and algorithms in this field. Its aim is to bring together researchers and professionals interested in the Predictive Analytics, from different disciplines, to discuss both models and applications.

Organizing Committee

Emanuele Giovannetti – Anglia Ruskin University, Cambridge – UK
Ralph Grothmann – Siemens AG, Siemens Deutschland, Munich – Germany
Mohsen Hamoudia – Orange Labs – France Telecom Group, Paris – France

You can follow @CambWireless on Twitter.

Event Location

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Location info

Hughes Hall, University of Cambridge

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