Kick-off Meeting

INFER Kick-off meeting took place on 6th and 7th of September 2010.

The whole event was split into two main parts: public one that was open for all interested in the project people and internal part for project participants. Below the information about the open part of the meeting is presented.

Public event

Monday 06.09.2010

9:15 - 9:30      Opening by Deputy Vice-chancellor of Bournemouth University

Deputy Vice-chancellor of the Bournemouth University, Mr David Willey, officially inaugurated the INFER project on 6th of September 2010 and welcomed all guests and project participants. Mr Willey introduced the Bournemouth University, which is the Coordinator of the project, with a brief description of the University’s vision, goals and strategy.

9:30 - 10:30      INFER project and project partner’s introduction

After the Deputy Vice-chancellor, the INFER project was introduced by Prof. Gabrys, which was followed by the introduction of representatives of all three project participants and their institutions: Prof. Bogdan Gabrys from Bournemouth University, Mr Reinhard Dudda from Evonik Industries and Mr Tony Rozwadowski from Research & Engineering Center provided short introductions about their institutions.

11:30 - 12:30    Keynote speech

Next, Dr Detlef Nauck from BT delivered the lecture entitled: “Intelligent Data Analysis for Customer Service Processes”. Dr Nauck is currently holding a position as a Chief Research Scientist and Technical Group Leader in BT's Intelligent Systems Research Centre. The centre is located in Adastral Parkand is part of the Research and Venturing Organisation of the BT GroupChief Technology Office. In the presentation Dr Nauck described examples of research tools and their applications used in BT. These were: (i) iCSat for predicting customer behaviour, (ii) SPIDA an automatic data analysis engine, (iii) iCAN used in churn and complaint prediction based on historic data about interactions with customers, (iv) RAPID used in assessing the business process performance and (v) social network analysis used in neighbourhood value analysis for churn prediction. The second part of the talk focused on interesting patterns in data and ways of how to find unknown patterns. The last part described automated predictive processes which are of great interest to many researches.