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From:
Olana Missura <[log in to unmask]>
Reply To:
Olana Missura <[log in to unmask]>
Date:
Fri, 18 Mar 2016 16:39:40 -0400
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ECML/PKDD 2016 Discovery Challenge Call For Contributions

This year Discovery Challenge has a quite intriguing set of competitions
for those researchers that want to prove their ability in solving real-life
problems. In particular we have two different context for participants:

   1.

   Bank Card Usage Analysis, and
   2.

   SPHERE Challenge Activity Recognition with Multimodal Sensor Data.

A third challenge will be available in the next week.


Bank Card Usage Analysis

The ECML/PKDD Discovery Challenge 2016 on Bank Card Usage Analysis asks you
to predict the user behavior of the OTP Bank Hungary, a key bank in CEE
Region. We give you one year list of card payment events with geolocation
information.

The Bank wants to know which branch will be visited by each customer to be
able to optimize proactive contact list and plan distribution.

The customer will be proactively called in campaigns from the branch that
will be visited with the highest probability.

The bank expects higher conversion rates in branch campaigns if the call is
made in the branch mostly prefered by the customer.


Challenge Website:

http://195.111.1.97:8888/#/app/home

Organizers:

Discovery Challenge Chairs

Elio Masciari, ICAR CNR, Italy

Alessandro Moschitti, University of Trento, Italy

Bank Card Challenge Chairs

Ill és Gozl án, Head of Data Science and Customer value Optimization, OTP
Bank Hungary

G ábor K áposzt ási, Senior Data Analyst, OTP Bank Hungary

R óbert P álovics, Hungarian Academy of Sciences

Frederick Ayala Gomez, E ötv ös University Budapest

Andr ás Bencz úr, Hungarian Academy of Sciences

[log in to unmask]



Prizes (For each Task).

First: prize EUR 800

Second: prize EUR 500

Third; prize EUR 400





SPHERE Challenge: Activity Recognition with Multimodal Sensor Data

Obesity, depression, stroke, falls, cardiovascular and musculoskeletal
disease are some of the biggest health issues and fastest-rising categories
of health-care costs. The financial expenditure associated with these is
widely regarded as unsustainable and the impact on quality of life is felt
by millions of people in the UK each day. Smart technologies can
unobtrusively quantify activities of daily living, and these can provide
long-term behavioural patterns that are objective, insightful measures for
clinical professionals and caregivers.

To this end the EPSRC-funded “Sensor Platform for HEalthcare in Residential
Environment (SPHERE)” Interdisciplinary Research Collaboration (IRC) has
designed a multi-modal sensor system driven by data analytics requirements.
The system is under test in a single house, and will be deployed in a
general population of 100 homes in Bristol (UK). The data sets collected
will be made available to researchers in a variety of communities.

Data is collected from the following three sensing modalities:

   -

   wrist-worn accelerometer;
   -

   RGB-D cameras (i.e. video with depth information); and
   -

   passive environmental sensors.



With these sensor data, we can learn patterns of behaviour, and can track
the deterioration/progress of persons that suffer or recover from various
medical conditions. To achieve this, we focus activity recognition over
multiple tiers, with the two main prediction tasks of SPHERE including:

   1.

   Prediction of Activities of Daily Living (ADL) (e.g. tasks such as meal
   preparation, watching television); and
   2.

   Prediction of posture/ambulation (e.g. walking, sitting, transitioning).



Reliable predictions of ADL allows us to model behaviour and of residents
over time, e.g. what does a typical day consist of, what times are
particular activities performed etc. Prediction of posture and ambulation
will complement ADL predictions, and can inform us about the physical
well-being of the participant, how mobile/responsive is the participant,
how active/sedentary, etc.


Challenge Website:

http://irc-sphere.ac.uk/sphere-challenge/home

Organizers:

Discovery Challenge Chairs

Elio Masciari, ICAR CNR, Italy

Alessandro Moschitti, University of Trento, Italy

Sphere Challenge Chairs

Niall Twomey - [log in to unmask]

Tom Diethe - [log in to unmask]

Meelis Kull - [log in to unmask]

Peter Flach - [log in to unmask]

Ian Craddock - [log in to unmask]


Prizes will be awarded to the first three winners:

€1,000 being awarded to the winner;

€600 to the runner up; and

€400 to the second runner up.



Deadlines:

Solution Proposal Deadline: June 19 2016 24:00 - As long as it is June 19
anywhere in the world (Time Zone in Midway, US Minor Outlying Islands,
UTC-12)

Paper submission deadline: July 8 2016 (Selected Teams will be invited to
submit their solution to the challenge workshop)

Notification: Aug 8 2016

Conference: September 19-23

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