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Second International IEEE Workshop on Experimental Economics and Machine Learning

National Research University Higher School of Economics http://www.hse.ru/org/hse/conf_eeml/2013/

In conjunction with IEEE ICDM 2013 (December 7 December 8, Dallas, Texas, USA)

Download   EEML_CfP

As a part of renowned international conferences on different branches of machine learning, this workshop intends to integrate scientists from experimental economics with those from AI & Data Mining. First workshop – EEML 2012 – has been successfully accomplished at ICFCA 2012 and we look forward to encourage more and more researchers' interactions from both fields.

In Experimental Economics, laboratory and field experiments are conducted on subjects in order to improve theoretical knowledge about human behavior in interactions. Although paying different amounts of money restricts the preferences of the subjects in experiments, the exclusive application of analytical game theory does not suffice to explain the recorded data. It exacts the development and evaluation of more sophisticated models. The research area additionally includes experiments, where human subjects are involved into an interaction with automated agents. Nowadays experiments are conducted using state-of-art software like z-Tree, which produces huge text data sets.

The more data is used for the evaluation, the more of statistical significance can be achieved. Since huge amounts of behavioral data are required to be scanned for regularities and automated agents are required to simulate and to intervene human interactions, Data Mining is the tool of choice for the research in Experimental Economics. We hope that this workshop associated with the conference and other related workshops will help to gather researchers from data analysis and economic communities in order to gain the beneficial results.

Website: http://eeml2013.hse.ru/

Subject coverage:    

  • Economical Applications of Machine Learning
  • Economical Innovations and Data Mining
  • Experimental Economics and Complex Networks
  • Econometrics VS Machine Learning & Data Mining
  • Human Behavior Modeling and Game Theory
  • Innovative applications of Concept Lattices in Economics & Data Mining
  • Interdisciplinary Data Science
  • Knowledge Discovery in Economics Domain
  • Machine Learning for Social Sciences
  • New Modeling Languages for Economics 
    (Bayes and Markov Nets, Petri Nets etc.)
  • Ontologies for Economics
  • Real Data Mining Projects

 Workshop chairs

  • Rustam Tagiew, Qlaym GmbH, Düsseldorf, Germany
  • Dmitry Ignatov, National Research University Higher School of Economics, Moscow, Russia
  • Fadi Amroush, Granada Lab of Behavioral Economics (GLOBE), Granada, Spain

 

Program committee

Aleksandr Karpov, National Research University Higher School of Economics, Russia

Alexander Panchenko, Université catholique de Louvain, Belgium

Antonio Gabriel López Herrera, Department of Computer Science and Artificial Intelligence, Spain

Boris Galitsky, e-Bay Inc, USA

Boris Mirkin, National Research University Higher School of Economics, Russia

Daniel Karabekyan, National Research University Higher School of Economics, Russia

Guido Dedene, Katholieke Universiteit Leuven, Belgium

Heather D. Pfeiffer, Akamai Physics Inc, USA

Irina Efimenko, National Research University Higher School of Economics, Russia

Jonas Poelmans, Katholieke Universiteit Leuven, Belgium

Leonid Zhukov, National Research University Higher School of Economics, Russia

Malay Bhattacharyya, University of Kalyani, India

Mikhail Khachay, Institute of Mathematics and Mechanics, Ural Branch of RAS, Ekaterinburg, Russia

Mykola Pechenizkiy, Eindhoven Technical University, The Netherlands

Nicola Vitucci, Politecnico di Milano, Italy

Nikolaos Georgantzis,University of Granada & Universitat Jaume I, Spain

Olga Barinova, Moscow State University, Russia

Paul Elzinga, Katholieke Universiteit Leuven, Belgium and Amsterdam-Amstelland police, The Netherlands
Pouya Dehghani Tafti, Qlaym GmbH

Rostislav Yavorskiy, Skolkovo Foundation, Russia

Sergei Kuznetsov, National Research University Higher School of Economics, Russia

Simon Polovina, Sheffield Hallam University, UK

T.L. Hoang, Eindhoven Technical University, The Netherlands

Vladimir Khoroshevsky, Computing Centre of Russian Academy of Sciences, Russia

Vlado Menkovski, Eindhoven Technical University, The Netherlands

Xenia Naidenova, Military Medical Academy, St. Petersburg, Russia
Yevgenya Kovalchuk, University of Essex, UK

 

Important dates

DEADLINE POSTPONED  August 17, 2013:           Due date for full workshop papers

September 24, 2013:  Notification of paper acceptance to authors

December 7 December 8, 2013:     Day of workshop

 
Preliminary Program

December 7: IEEE EEML 2013 WORKSHOP PRELIMINARY SCHEDULE

Address: Sheraton hotel 400 N. Olive Street Dallas, Texas 75201

9.00 - 9.10  Opening words

9.10 - 10.00 – Keynote Talk

Edward M.L. Peters The End of Economics as We Know It:   How service bundles and the discovery of values leaks and imperfections will change the economic landscape.

10:00 - 10:30 – Coffee Break

11.00 - 12.00 – EEML Session 1

Emma L. Tonkin and Heather D. Pfeiffer, Zombies Walk Among Us: Cross-platform data mining for event monitoring

Edward M.L. Peters, Guido Dedene, and Jonas Poelmans, Empirical Discovery of Potential Value Leaks in Processes by means of Formal Concept Analysis

12:00 - 14:00 – Lunch

14.00 - 15.00 – EEML Session 2

Alexander Porshnev, Ilya Redkin, and Alexey Shevchenko, Machine learning in prediction of stock market indicators based on historical data and data from Twitter sentiment analysis.

Rustam Tagiew, Dmitry Ignatov, and Fadi Amroush, Social Learning in Networks: Extraction of Deterministic Rules

15:00 - 15:30  – Coffee Break

15.30 - 16.00 – EEML Session 3

Anastasia Bezzubtseva, The Early Booking Effect and Other Determinants of Hotel Room Prices in Europe

16.00-16.15 – Future EEML plans and Closing words

Registration

 

All attendees to the workshop are required to register as participants of IEEE ICDM 2013. Information regarding registration is available by the conference organization on the conference site http://icdm2013.rutgers.edu/registration

 

  

Submissions

 

ICDM has the unique tradition that all accepted workshop papers are published in formal proceedings by the IEEE Computer Society Press. The proceeding will be released in the IEEE Digital Library as well. This requires ICDM to uphold a very standard of quality for all workshop contributions.

 

1) Paper submissions is limited to a maximum of *8* pages, and follow the IEEE ICDM format requirements http://icdm2013.rutgers.edu/author-instructions

2) Submissions can be done over
https://wi-lab.com/cyberchair/2013/icdm13/scripts/submit.php?subarea=SJ&undisplay_detail=1&wh=/cyberchair/2013/icdm13/scripts/ws_submit.php

3) Each submitted paper is to be carefully reviewed by at least two, preferably three, knowledgeable and experienced reviewers.
4) Every accepted paper is invited to be presented at the workshop date.

 

As by the ICDM tradition, at submission of papers for the conference, authors can indicate whether they want their papers fast-tracked to a workshop. These papers will be transferred from the main conference review track to the indicated workshop review track.

 

Proceedings

 

Once the decision on paper acceptance has been made, the authors will be notified that camera-ready versions of their papers should be prepared and submitted through the IEEE ICDM Workshop CyberChair submission system. Due to the strict production schedule of IEEE Press, these deadlines cannot be postponed.

 

EEML 2012 Proceedings can be found by the following link: http://ceur-ws.org/Vol-870/

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