In this fifth ADAN symposium, we focus on three quite different applications of Machine Learning algorithms – with an emphasis on how these applications can be used more widely.
The symposium will give you fresh insights into how these algorithms are being used in real-life situations, related specifically to research.
The themes of the presentations are:
Each presentation will run for 20 minutes, followed by 10 mins for Q&A. We will finish with a short panel session outlining any themes across the submissions. We will ensure the papers are accessible to all members (i.e. not too technical), and there will be opportunities for networking before and after the presentations.
About ADAN:
ADAN – The Advanced Analytics Network – aims to help identify, develop and disseminate research industry best practice in the general area of advanced analytics.
This covers mainstream multivariate approaches such as conjoint and regression, through to more recently adopted techniques such as random forests and cluster ensemble analysis. We also aim to lead the way within the research industry in identifying optimum approaches for analysing multiple source data.
Programme
17:30 Registration
17:55 Introduction – Paul Carney, Bonamy Finch
18:00 – 18:30 Shaun Austin, Future Thinking – ARIMA modelling (including 10 mins Q&A)
18:30 – 19:00 Paul Jackson, Bonamy Finch – Ensemble machine learning (including 10 mins Q&A)
19:00 – 19:10 Break
19:10 – 19:40 Martin Dimov. Gemseek - Mapping survey responses to databases (including 10 mins Q&A)
19:40 – 20:00 Panel discussion with the presenters on key applications / challenges
20:00- 20:30 Drinks & networking
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