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BIRS Workshop
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Revised Selected Papers
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Lecture Notes in Arti cial Intelligence 10344
Subseries of Lecture Notes in Computer Science
LNAI Series Editors
Randy Goebel
University of Alberta, Edmonton, Canada
Yuzuru Tanaka
Hokkaido University, Sapporo, Japan
Wolfgang Wahlster
DFKI and Saarland University, Saarbrücken, Germany
LNAI Founding Series Editor
Joerg Siekmann
DFKI and Saarland University, Saarbrücken, Germany
More information about this series at http://www.springer.com/series/1244
Andreas Holzinger Randy Goebel
(cid:129)
Massimo Ferri Vasile Palade (Eds.)
(cid:129)
Towards Integrative
Machine Learning and
Knowledge Extraction
BIRS Workshop
–
Banff, AB, Canada, July 24 26, 2015
Revised Selected Papers
123
Editors
Andreas Holzinger Massimo Ferri
Medical University Graz BolognaUniversity
Graz Bologna
Austria Italy
Randy Goebel Vasile Palade
University of Alberta CoventryUniversity
Edmonton, AB Coventry
Canada UK
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notesin Artificial Intelligence
ISBN 978-3-319-69774-1 ISBN978-3-319-69775-8 (eBook)
https://doi.org/10.1007/978-3-319-69775-8
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Preface
The BIRS Workshop 15w2181 in Banff was dedicated to stimulating a cross-domain
integrativemachinelearningapproachandappraisalof“hottopics”towardtacklingthe
grand challenge of reaching a level of useful and useable computational intelligence
with a focus on real-world problems, such as in the health domain. This encompasses
learning from prior data, extracting and discovering knowledge, generalizing the
results, fighting the curse of dimensionality, and ultimately disentangling the under-
lyingexplanatoryfactorsincomplexdata,i.e.,tomakesenseofdatawithinthecontext
of the application domain.
The workshop particularly tried to contribute advancements in promising novel
areas as, e.g., at the intersection of machine learning and topological data analysis.
History has shown that most often the overlapping areas at intersections of seemingly
disparate fields are key for stimulation of new insights and further advances. This is
particularly true for the extremely broad field of machine learning.
Successful machine learningneedsa concerted effort, fostering integrative research
between experts ranging from diverse disciplines – from data science to data visual-
ization and always taking into account issues of privacy, data protection, safety, and
security. Tackling such complex research undertakings needs both disciplinary excel-
lence and cross-disciplinary networking without boundaries, and a cross-domain
integration of experts – like what the international HCI-KDD group is doing now for
many years. Consequently, we thank all our international colleagues who persistently
energize our activities and support our general motto: “Science is to test crazy ideas –
Engineering is to put these ideas into practice.”
Wearegratefulforeverybodywhocontributeddirectlyorindirectlytothisvolume;
inparticular,wethankallourreviewersfortheircarefulworkandpatience.Finallywe
wanttosaythankyoutoourfamiliesandfriendsfortheirpersonalsupportandlastbut
notleastwearegratefulfortheSpringermanagementteamandtheSpringerproduction
team for their smooth and professional support!
September 2017 Andreas Holzinger
Randy Goebel
Vasile Palade
Massimo Ferri
Organization
Scientific Committee
WearegratefulforthesupportofallmembersoftheexpertnetworkHCI-KDD(forthe
full list of members see: http://hci-kdd.org/international-expert-network).
Rakesh Agrawal Microsoft Search Labs, Mountain View, USA
Beatrice Alex University of Edinburgh, UK
Amin Anjomshoaa Massachusetts Institute of Technology, USA
Joel P. Arrais University of Coimbra, Portugal
John A. Atkinson-Abutridy Universidad de Concepcion, Chile
Chloe-Agathe Azencott Mines Paris Tech, France
Alexandra Balahur European Commission Joint Research Centre, Ispra,
Italy
Smaranda Belciug University of Craiova, Romania
Mounir Ben Ayed Ecole Nationale d’Ingenieurs de Sfax, Tunisia
Elisa Bertino Purdue University, West Lafayette, USA
Chris Biemann Technische Universität Darmstadt, Germany
Miroslaw Bober University of Surrey, Guildford, UK
Francesco Buccafurri Università Mediterranea di Reggio Calabria, Italy
Andre Calero-Valdez RWTH Aachen University, Germany
Mirko Cesarini Università di Milano Bicocca, Italy
Polo Chau Georgia Tech, USA
Chaomei Chen Drexel University, USA
Veronika Cheplygina Erasmus Medical Center, The Netherlands
Nitesh V. Chawla University of Notre Dame, USA
Alexiei Dingli University of Malta, Malta
Sara Johansson Fernstad Northumbria University, UK
Ana Fred Technical University of Lisbon, Portugal
Aryya Gangopadhyay UMBC Center of Cybersecurity,
University of Maryland, USA
Panagiotis Germanakos University of Cyprus, Cyprus
Michael Granitzer University of Passau, Germany
Dimitrios Gunopulos University of Athens, Greece
Helwig Hauser University of Bergen, Norway
Andreas Hotho University of Würzburg, Germany
Jun Luke Huan University of Kansas, USA
Anthony Hunter University College London, UK
Beatriz De La Iglesia University of East Anglia, UK
Igor Jurisica IBM Life Sciences Discovery Centre, and Princess
Margaret Cancer Centre, Canada
Jiri Klema Czech Technical University, Czech Republic
X Organization
Peter Kieseberg SBA Research gGmbH – Secure Business Austria,
Austria
Negar Kiyavash University of Illinois at Urbana-Champaign, USA
Lubos Klucar Academy of Sciences, Slovakia
David Koslicki Oregon State University, USA
Patti Kostkova University College London, UK
Natsuhiko Kumasaka RIKEN, Japan
Robert S. Laramee Swansea University, UK
Nada Lavrac Joszef Stefan Institute, Slovenia
Chunping Li Tsinghua University, China
Haibin Ling Temple University, USA
Luca Longo Trinity College Dublin, Ireland
Lenka Lhotska Czech Technical University Prague, Czech Republic
Andras Lukacs Hungarian Academy of Sciences and Eoetvos
University, Hungary
Avi Ma’ Ayan Mount Sinai Hospital, USA
Ljiljana Majnaric-Trtica University of Osijek, Croatia
Vincenzo Manca University of Verona, Italy
Ernestina Menasalvas Polytechnic University of Madrid, Spain
Yoan Miche Nokia Bell Labs, Finland
Antonio Moreno-Ribas Intelligent Technologies for Advanced Knowledge
Katharina Morik Technische Universität Dortmund, Germany
Abbe Mowshowitz The City College of New York, USA
Marian Mrozek Jagiellonian University, Poland
Zoran Obradovic Temple University, USA
Daniel E. O’leary University of Southern California, USA
Patricia Ordonez-Rozo University of Puerto Rico Rio Piedras, Puerto Rico
Jan Paralic Technical University of Kosice, Slovakia
Valerio Pascucci University of Utah, USA
Gabriella Pasi Università di Milano Bicocca, Italy
Armando J. Pinho University of Aveiro, Portugal
Pavel Pilarczyk Institute of Science and Technology Austria, Austria
Massimiliano Pontil UCL London, UK
Raul Rabadan Columbia University, USA
Heri Ramampiaro Norwegian University of Science and Technology,
Norway
Chandan K. Reddy Wayne State University, USA
Gerhard Rigoll Technische Universität München, Germany
Jianhua Ruan University of Texas, USA
Lior Rokach Ben-Gurion University of the Negev, Israel
Carsten Roecker Fraunhofer IOSB-INA and Ostwestfalen-Lippe
University of Applied Sciences, Germany
Timo Ropinski Ulm University, Germany
Giuseppe Santucci La Sapienza University of Rome, Italy
Pierangela Samarati University of Milan, Italy
Michele Sebag CNRS, Universite Paris Sud, France
Organization XI
Paola Sebastiani Boston University, USA
Christin Seifert University of Passau, DE
Bracha Shapira Ben-Gurion University of the Negev, Israel
Yongtang Shi Nankai University, China
Andrzej Skowron University of Warsaw, Poland
Neil R. Smalheiser University of Illinois at Chicago, USA
Irena Spasic Cardiff University, UK
Gregor Stiglic Stanford University, USA
Dimitar Trajanov Cyril and Methodius University,
Republic of Macedonia
Catagaj Turkay City University London, UK
A Min Tjoa Vienna University of Technology, Austria
Olof Torgersson Chalmers University of Technology, Sweden
Shusaku Tsumoto Shimane University, Japan
Karin Verspoor Health and Life Sciences, National Information
and Communications Technology Australia
Jean-Philippe Vert Mines ParisTech, France
Edgar Weippl SBA Research – Secure Business Austria, Austria
Pak Chung Wong Pacific Northwest Laboratory, USA
William Bl Wong HCI, Middlesex University, UK
Kai Xu Middlesex University, UK
Jieping Ye Arizona State University, USA
Pinar Yildirim Okan University, Turkey
Martina Ziefle RWTH Aachen University, Germany
Elena Zheleva University of Maryland, USA
Ning Zhong Maebashi Institute of Technology, Japan
Xuezhong Zhou Beijing Jiaotong University, China
Description:The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the gran