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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:
Bank Card Usage Analysis, and
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
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:
Prediction of Activities of Daily Living (ADL) (e.g. tasks such as meal preparation, watching television); and
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