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:

  • Forecasting using customer and survey data, and ARIMA modelling
  • Using ensemble algorithms to boost accuracy and sizing of segments onto customer databases
  • Mapping survey findings onto CRM databases

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.

Venue

MRS
The Old Trading House, 15 Northburgh Street,London,EC1V 0JR

No Biography Available

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


Additional Information

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