IFCS 2017 – First Announcement and Call for Papers

Ladies and Gentleman,
the 2017 conference of the International Federation of Classification Societies (IFCS) will be held at the Takanawa Campus of Tokai University, Tokyo from August 8 to 10, 2017. The conference theme will be ‘The Challenge of Data Science in the Era of Big Data’. On August 7, pre-conference workshops will be held. The conference itself will start on August 8 in the morning, and will close on August 10 with a full day conference program and a conference dinner. The conference will include a President’s invited session and a Presidential address, invited presentations, invited and contributed sessions, and poster sessions. The following awards and medals ceremony will be scheduled at the conference.

  • IFCS Research Medal for outstanding research achievements
  • Chikio Hayashi Award for Young Researchers
  • Student/Postdoctoral Fellow Paper Competition and Travel Award
  • Student Poster Session Competition Award on innovative research including applications
  • the BRCA Data Analysis Award

Conference Venue
The Takanawa Campus of Tokai University offers excellent facilities andstate-of-the-art digital equipment for scientific meetings. The campus is located in the commercial heart of Tokyo. In Takanawa, there is the well-known Soto Zen Buddhist temple Sengaku-ji, where the famous Forty-seven Samurai and their lord are enshrined. Takanawa is also located near Shinagawa, one of the public transport hubs in Tokyo. It is very easy to come to downtown in Tokyo by train

and subway from Shinagawa, as well as to Osaka and Kyoto by
Shinkansen (high speed train). There are direct connections from both Narita and Haneda International Airports to
Shinagawa.

Conference Topics

Contributed papers from scholars and practitioners are invited on any of the topics below as well as on related issues:
Data Analysis and Classification in the Natural Sciences, Engineering, Medicine and Biology /Banking and Finance / Bioinformatics and Biostatistics / Biomedical Data Analysis and Imaging / Business and Industry / Classification, Discriminant Analysis, and Supervised Learning / Clustering and Unsupervised Learning / Complex Event Processing / Data Analysis in Archaeology / Databionics / Exploratory Data Mining / Formal Concept Analysis / Functional Data Analysis / Geospatial Planning / Graphics and Vision / High-Dimensional Data and Dimension Reduction / Image Analysis and Computer Vision / Information Retrieval and Library Science / Impact of Technical Revolution, Globalization on Statistical Process / Knowledge Discovery / Linguistics and Musicology / Machine Learning and Pattern Recognition / Marketing and Management / Medical and Health Sciences / Neural Networks and Deep Learning / Psychology and Educational Sciences / Social Network Analysis / Sparse Modeling / Statistical Data Analysis, Statistical Models and Model Selection / Swarm Systems / Symbolic Data Analysis / Text Mining, Web Mining, and Ontology Learning / Visualization

Submission of Abstracts

Titles and abstracts should be submitted and uploaded via the conference website by April 18, 2017. All abstracts will be subject to a peer review process.
Notifications of acceptance will be sent by May 15, 2017.

Important Dates

  • November 1, 2016 Start early bird registration
  • April 18, 2017: Deadline for abstract submission
  • April 18, 2017: Deadline for early bird registration
  • May 15, 2017: Notification of acceptance for abstract submission
  • May 31, 2017: Deadline for standard registration
  • June 30, 2017: Deadline for late registration
  • August 7, 2017: Pre-conference workshops
  • August 8-10, 2017: IFCS-2017 conference

Publications Related to the Conference

We are planning to publish a post-conference proceedings. The tentative schedule is as follows:

  • October 15, 2017: Deadline manuscript submission
  • December 15, 2017: Notification of acceptance
  • February 15, 2018: Deadline revised manuscript submission
  • June 15, 2018: Publication and shipment

Conference Fees

Early Bird Standard Late On Site
IFCS Societies Member* 35,000 Yen 40,000 Yen 45,000 Yen 50,000 Yen
Non-Member 45,000 Yen 50,000 Yen 55,000 Yen 60,000 Yen
Student 15,000 Yen 15,000 Yen 15,000 Yen 15,000 Yen

* IASC members are entitled to IFCS societies members fees

Contact Adress

Yoshiro Yamamoto, Tokai University, Takanawa 2-3-23, Minato-Ku, Tokyo 108-8619 Japan

Further Information can be found on the conference website and the conference flyer.

German Polish Seminar on Data Analysis and Applications 2017: First Announcement and Call for Papers

Ladies and Gentleman,

we invite you to the Fourth German Polish Seminar on Data Analysis and Applications (following Aachen, Krakow and Dresden seminars) that will take place in Wroclaw, on September 26, 2017 (Tuesday). The seminar will precede European Classification and Data Analysis Conference 2017 (ECDA2017), which will take place in Wroclaw, on September 27-29, 2017.

More information about the seminar can be found on the seminars leaflet and website.

First Announcement for the European Conference on Classification and Data Analysis 2017

The Fourth European Conference on Classification and Data Analysis will take place at the Wrocław University of Economics, Poland, on September 27-29, 2017 (Wednesday – Friday). The conference follows the previous conferences in 2013 (Luxembourg), 2014 (Bremen), 2015 (Colchester).

The conference will take place in the campus of Wroclaw University of Economics, where the facilities allow for plenary session and up to at least 10 parallel sessions as well as for coffee breaks and lunches.

The Conference will be organized by Prof. Dr. Krzysztof Jajuga. Website and Flyer for the conference is coming soon.

First Announcement of the Fourth European Conference on Classification and Data Analysis 2017

The Fourth European Conference on Classification and Data Analysis will take place at the Wrocław University of Economics, Poland, on September 27-29, 2017 (Wednesday – Friday). The conference follows the previous conferences in 2013 (Luxembourg), 2014 (Bremen), 2015 (Colchester).

The conference will take place in the campus of Wroclaw University of Economics, where the facilities allow for plenary session and up to at least 10 parallel sessions as well as for coffee breaks and lunches. A possible title is “Data Science: Theory, Methods and Applications”.

Partnering Societies other than the GfKl are the SKAD, CLADAG, BCS and the EuADS

The Conference will be organized by Prof. Dr. Krzysztof Jajuga. Website and Flyer for the conference is coming soon.

Clustering Data Submission Challenge Call

 Contributing Data Sets to Cluster Benchmark Data Repository

The Cluster Benchmarking Task Force of the International Federation of Classification Societies (IFCS) is
calling for contributions to their recently launched Cluster Benchmark Data Repository. This submission call is part of a competition connected with the IFCS 2017 conference in Tokyo.

The aim of the repository is to stimulate better practice in benchmarking (performance comparison of methods) for cluster analysis by providing a unique resource comprised of a wide variety of well documented, high quality datasets and simulation routines for use in practical benchmarking. The repository will include both datasets with and datasets without given “true” clusterings. A unique feature of the repository is that each dataset will be supplied with comprehensive meta-data, including documentation on the specific nature of the clustering problem and on characteristics that useful clusters should fulfill (with scientific justification).

The Task Force is calling for individuals to contribute data sets to this repository as part of a challenge.

 

Rules for Submission

  • Datasets for the challenge may be submitted here; please indicate in the corresponding field that your dataset is submitted for the challenge.
  • Meta-data are entered via a questionnaire that can be found as part of the submission process on the repository website.
  • Each participant in the challenge is allowed to submit several datasets.
  • The deadline for dataset submissions is January 15, 2017, 5pm CET.

 

Competition Guidelines

  • Contributions to the challenge will be evaluated by the IFCS Task Force on Benchmarking.
  • Apart from technical correctness, the major evaluation criterion will be quality of the meta-data.
  • One or two data sets will be selected as winners of the challenge.
  • The contributor(s) of the winning data set(s) will be notified no later than January 31, 2017.
  • The winning data set(s) will be the object of a second challenge, in which they will be subjected to various types of cluster analysis.
  • The winning data set(s) will be introduced during an invited session at the forthcoming IFCS conference in Tokyo, Japan, August 8-10, along with results from the second, data-analytic challenge. The contributor(s) of the winning data set(s) will be welcome to take care of this introduction, yet conference attendance is not a requirement for participation in the challenge.
  • The contributor(s) of the winning data set(s) will receive a plaque and a book award.
  • Contact for questions: Iven.VanMechelen@kuleuven.be

All researchers interested in clustering and classification are most welcome to participate in this challenge!

Taskforce members: Anne-Laure Boulesteix, Rainer Dangl, Nema Dean, Isabelle Guyon, Christian Hennig, Friedrich Leisch, Douglas Steinley, and Iven Van Mechelen

Second Announcement and Call for Participation for the European Data Science Conference (EDSC)

The European Association for Data Science (EuADS) invites to the European Data Science Conference (EDSC),that will take place from November 07-08, 2016 at the Neumünster Abbey Cultural Exchange Center in Luxembourg-Grund.

Conference Program

The European Data Science Conference is the inaugural conference of the European Association for Data Science and aims to provide a setting for fostering communication among all stakeholders of Data Science in Europe. The major objective is to bring together renowned experts and early-career scientist from disciplines that are focused on the acquisition and analysis of (big) empirical data, representatives from industry and politics as well as other stakeholders from the field of Data Science. Numerous invited experts from these areas will contribute to the conference. One of the primary aims of the conference is to initiate and foster discussion on relevant topics in Data Science that are of interest to various empirical disciplines but simultaneously have unsolved problems.

Conference Topics

From an in-depth analysis of methodological approaches and unsolved problems across empirical disciplines, the conference focuses on the following topics which are of actual concern in science and society:

  1. The question of trust, transparency and provenance of data including where data come from and by which mechanisms trust in data might be achieved.
  2. Legal aspects of Data Science such as data protection, data privacy and data access, among others.
  3. The question how data scientists might navigate the complex chain from raw data to actionable outputs and how they might be supported by appropriate tools.
  4. The role of Data Science in Medicine and Healthcare with a specific focus on Open medical data and personalized Medicine.
  5. The question of what makes Data Science different from other fields such as statistics and how to define the methodological substance of the field.

The European Data Science Conference consists of selected plenary talks, symposia, workshops and panel discussions on the five topics outlined above and an opening talk for the interested public. The conference language is English.

Main Keynote Speakers

  • Michael Berthold, Applied Computer Science, University of Konstanz, Germany
  • Niels Peek, MRC Health eResearch Centre for North England, University of Manchester, United Kingdom
  • Walter Radermacher, Director General of the statistical office of the European Union (Eurostat), Luxembourg
  • Pedro Pereira Rodrigues, Health Information and Decision Sciences department of the Faculty of Medicine, University of Porto, Portugal
  • Jorge Sanz, National University of Singapore Business Analytics Center, Singapore

Participation

Participation to the European Data Science Conference is by invitation. We encourage participation of selected early-career researchers. If you are interested in participating, please submit a short proposal of maximum 1 page describing your current work and future planning in Data Science and why and how you intend to contribute to the conference. The deadline for submitting proposals (by email to edsc@uni.lu) is 1 October, 2016. All proposals will be reviewed by members of the scientific program committee. Notifications will be sent out by 7 October. Funds for travel support may be available.

Participation is free of charge.

Conference Location

The European Data Science Conference hosted by the University of Luxembourg will take place from November 07-08, 2016 at the Neumünster Abbey Cultural Exchange Center in Luxembourg-Grund.

Important Dates

  • October 01, 2016: Deadline for submitting proposals
  • November 07-08, 2016: European Data Science Conference (EDSC)

Scientific Program Committee

  • Serge Allegrezza, National Statistical Institute and Economic Studies (STATEC), Luxembourg
  • Eric Dubois, Luxembourg Institute of Science and Technology (LIST), Luxembourg
  • Peter Flach, University of Bristol, United Kingdom
  • Burkhard Hess, Max Planck Institute Luxembourg for International, European and Regulatory Procedural Law, Luxembourg
  • Katja Ickstadt, TU Dortmund University, Germany
  • Sabine Krolak-Schwerdt, University of Luxembourg, Luxembourg
  • Berthold Lausen, University of Essex, United Kingdom
  • Hilmar Schneider, Institute for the Study of Labor (IZA), Germany
  • Myra Spiliopoulou, Otto-von-Guericke University Magdeburg, Germany
  • Claus Weihs, TU Dormund University, Germany

Local Organizing Committee

  • Serge Allegrezza, National Statistical Institute and Economic Studies (STATEC), Luxembourg
  • Matthias Böhmer, University of Luxembourg, Luxembourg
  • Eric Dubois, Luxembourg Institute of Science and Technology (LIST), Luxembourg
  • Sabine Krolak-Schwerdt, University of Luxembourg, Luxembourg
  • Hilmar Schneider, Institute for the Study of Labor (IZA), Germany

Reminder: Application for the BRCA Data Analysis Award possible until 30.09.2016

The BRCA Data Analysis Award honors innovative scientific research combining methods from statistics and data analysis with an application dealing with the prevention of heredital cancers (such as familar breast cancer, BRCA). It is endowed with 1000 Euro and offers the opportunity to present the underlying work, e.g., at the world conference of the International Federation of Classification Societies (IFCS) in Tokyo in August 2017.

Members of the GfKl are encouraged to send their applications to BRCA-Award@gfkl.de  before the deadline September 30, 2016.

For any details see www.isw.rwth-aachen.de/BRCA-Award.php

Fionn Murtagh wins “Outstanding Contributions to Astrostatics Award”

We are pleased to announce that our member Professor Fionn Murtagh won this year’s IAA Award for Outstanding Contributions to Astrostatics.

Mr. Murtagh is professor of Data Science and Statistics at the University of Derby in the UK and works part-time as a professor of data science at Goldsmiths, University of London. He is on the organizing committee of the initial IAU Commission B3 Astroinformatics and Astrostatistics (2015-2018), past president of the Classification Society (2008-2009) as well as past president of the British Classification Society (2007-2010). Professor Murtagh currently is on the Council of the International Association for Statistical Computing and is editor-in-chief of the Computer Journal, the foremost publication of the British Computer Society. He furthermore is an elected member of both the Royal Irish Academy and the Academia Europaea, and is a fellow of the British Computer Society and fellow of the International Association for Pattern Recognition. Murtagh also is co-author with Jean-Luc Starck of two editions of the well-received book, Astronomical Image and Data Analysis (2006, Springer). Aside from Prof. Murtagh’s work in classification, he also was an associate professor at the University of Strasbourg’s Astronomical Observatory and for twelve years (1984-1996) he was a senior scientist at the European Space Agency working on the Hubble Space Telescope project.

We wish to send Professor Fionn Murtagh our kindest regards and congratulate him on his outstanding performance and the well-deserved award