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Rustam Tagiew, Dmitry I. Ignatov, Alexey A. Neznanov, Jonas Poelmans (Eds.)

EEML 2012 – Experimental Economics in Machine Learning

Workshop co-located with the 10th International Conference on Formal Concept Analysis (ICFCA 2012)

May 2012, Leuven, Belgium

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Volume Editors

Rustam Tagiew

Institute for Computer Science

Technische Universit¨at Freiberg, Germany

Dmitry I. Ignatov

School of Applied Mathematics and Information Science

National Research University Higher School of Economics, Moscow, Russia

Alexey A. Neznanov

School of Applied Mathematics and Information Science

National Research University Higher School of Economics, Moscow, Russia

Jonas Poelmans

Faculty of Business and Economics Katholieke Universiteit Leuven, Belgium

Printed in Belgium by the Katholieke Universiteit Leuven with ISBN 978-9-08- 140992-6.

The proceedings are also published online on the CEUR-Workshop web site in a series with ISSN 1613-0073.

Copyright c 2012 for the individual papers by papers’ authors, for the Volume by the editors. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means without the prior permission of the copyright owners.

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Preface

In Experimental Economics, laboratory and field experiments are conducted on subjects in order to improve theoretical knowledge about human behavior in in- teractions. Although paying different amounts of money restricts the preferences of the subjects in experiments, the exclusive application of analytical game the- ory does not suffice to explain the recorded data. It exacts the development and evaluation of more sophisticated models. In some experiments, human subjects are involved into an interaction with automated agents and these agents are used for simulating human interactions. The more data is used for the evaluation, the more of statistical significance can be achieved. Since huge amounts of behav- ioral data are required to be scanned for regularities and automated agents are required to simulate and to intervene human interactions, Machine Learning is the tool of choice for the research in Experimental Economics. Moreover mod- ern economics extensively involves network structures, which can be modeled as graphs or more complicated relational structures.

This volume contains the papers presented at the inaugural International Workshop on Experimental Economics and Machine Learning (EEML 2012) held on May 9, 2012 at the Katholieke Universiteit Leuven, Belgium. This year the committee decided to accept 8 full papers for publication in the proceedings and two abstracts for presentation at the conference. Each submission was reviewed by on average 3 program committee members. R. Tagiew proposes a new method for mining determinism in human strategic behavior. N. Buzun et al. present a comparison of methods and measures for overlapping community detection.

A. Fishkov et al. discuss a new click model for relevance prediction in Web search.

A. Drutsa et al. applied novel data visualisation techniques to socio-semantic network data. Gilabert et al. made an experimental study on the relationship between trust and budgetary slack. O. Barinova et al. proposed using online random forest for interactive image segmentation. A. Bezzubtseva et al. built a new typology of collaboration platform users. V. Zaharchuk et al. proposed a new recommender system for interactive radio network services. D. Ignatov et al. designed a prototype system for collaborative platform data analysis.

We would like to express our gratitude to all contributing authors and re- viewers, especially to Malay Bhattacharyya, Hoang Thanh Lam, Olga Barinova and Alexandra Kaminskaya for their enormous efforts. We also want to thank our sponsors Amsterdam-Amstelland police, IBM Belgium, Research Founda- tion Flanders, Vlerick Management School, OpenConnect Systems and Higher School of Economics.

May, 2012 Leuven

Rustam Tagiew Dmitry I. Ignatov Alexey A. Neznanov Jonas Poelmans

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Organization

The inaugural International Workshop on Experimental Economics and Machine Learning (EEML 2012) was held on May 9, 2012 at the Katholieke Universiteit Leuven, Belgium. The workshop was co-located with the 10th International Con- ference on Formal Concept Analysis (ICFCA-2012).

Program Chairs

Rustam Tagiew Technische Universit¨at Freiberg, Germany

Dmitry I. Ignatov National Research University Higher School of Eco- nomics, Russia

Alexey A. Neznanov National Research University Higher School of Eco- nomics, Russia

Jonas Poelmans Katholieke Universiteit Leuven, Belgium

Program Committee

Olga Barinova Moscow State University, Russia

Elvina Bayburina National Research University Higher School of Eco- nomics, Russia

Malay Bhattacharyya Indian Statistical Institute, India Guido Dedene Katholieke Universiteit Leuven, Belgium

Irina Efimenko National Research University Higher School of Eco- nomics, Russia

Boris Galitsky University of Girona, Spain

Hoang Thanh Lam Eindhoven Technical University, The Netherlands Daniel Karabekyan National Research University Higher School of Eco-

nomics, Russia

Aleksandr Karpov National Research University Higher School of Eco- nomics, Russia

Mikhail Khachay Institute of Mathematics and Mechanics of Russian Academy of Sciences, Russia

Vladimir Khoroshevsky Dorodnicyn Computer Centre of Russian Academy of Sciences, Russia

Vlado Menkovski Eindhoven Technical University, The Netherlands Xenia Naidenova Military Medical Academy, Russia

Sergey Nikolenko Steklov Mathematical Institute of Russian Academy of Sciences, Russia

Mykola Pechenizkiy Eindhoven Technical University, The Netherlands Artem Revenko Technische Universit¨at Dresden, Germany

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Stijn Viaene Katholieke Universiteit Leuven, Belgium Nicola Vitucci Politecnico di Milano, Italy

Rostislav Yavorsky Witology, Russia

Leonid Zhukov National Research University Higher School of Eco- nomics, Russia

Sofia Kiselgof National Research University Higher School of Eco- nomics, Russia

Additional Reviewers

Tapas Bhadra Indian Statistical Institute, India Saurav Mallik Indian Statistical Institute, India Dmitry Zhivotvorev Yandex and NRU HSE, Russia

Sponsoring Institutions

Amsterdam-Amstelland police, The Netherlands IBM, Belgium

OpenConnect Systems, USA

Research Foundation Flanders, Belgium Vlerick Management School, Belgium

National Research University Higher of School Economics, Russia

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Table of Contents

Regular Papers

Online Random Forest for Interactive Image Segmentation . . . 1 Olga Barinova, Roman Shapovalov, Sergey Sudakov and Alexander Velizhev

A New Typology of Collaboration Platform Users. . . 9 Anastasia Bezzubtseva and Dmitry Ignatov

Innovative Methods and Measures in Overlapping Community Detection. 20 Nazar Buzun and Anton Korshunov

Socio-Semantic Network Data Visualization . . . 32 Alexey Drutsa and Konstantin Yavorskiy

A New Click Model for Relevance Prediction in Web Search. . . 39 Alexander Fishkov and Sergey Nikolenko

The Relationship Between Trust and Budgetary Slack: an Experimental

Study . . . 49 Mar´ıa Gilabert, Susana Gago and David Naranjo-Gil

CrowDM: the System for Collaborative Platform Data Analysis. . . 61 Dmitry I. Ignatov, Alexandra Yu. Kaminskaya, Anastasia A. Bezzubt- seva, Ekaterina L. Chernyak, Konstantin N. Blinkin, Daniil R. Ne- dumov, Olga N. Chugunova, Andrey V. Konstantinov, Nikita S. Ro- mashkin, Fedor V. Strok, Daria A. Goncharova, Rostislav E.Yavorsky

A New Recommender System for the Interactive Radio Network FMhost. 72 Dmitry Ignatov, Sergey Nikolenko, Vasily Zaharchuk and Andrey Kon- stantinov

Mining Determinism in Human Strategic Behavior . . . 85 Rustam Tagiew

Abstracts

Criteria Formation of Effective High-School Graduates Employment

Based upon Data Mining Methods . . . 92 Yuliya Akhmayzyanova and Irina Bolodurina

Image Processing Using Dynamical NK-Networks, Consisting of Binary

Logical Elements. . . 93 Daria Puchkova

Author Index. . . 94

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