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Today's Topics:
1. CfP: ICFCA'17 — 14th International Conference on Formal
Concept Analysis (Daniel Borchmann)
2. position openings in the heart of New York City (Maxim Sviridenko)
----------------------------------------------------------------------
Message: 1
Date: Thu, 08 Sep 2016 08:25:08 +0200
From: Daniel Borchmann <daniel.borchmann@tu-dresden.de>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] CfP: ICFCA'17 — 14th International Conference on
Formal Concept Analysis
Message-ID: <87k2emnc1n.fsf@tu-dresden.de>
Content-Type: text/plain; charset=utf-8
Please forward this CfP to potentially interested colleagues.
================================================================================
ICFCA 2017
14th International Conference on Formal Concept Analysis
June 12—16, 2017, Rennes, France
Web: <http://icfca2017.irisa.fr/>
Mail: icfca2017@inria.fr
================================================================================
* Overview
Formal Concept Analysis emerged in the 1980's from attempts to restructure
lattice theory in order to promote better communication between lattice
theorists and potential users of lattice theory. Since its early years, Formal
Concept Analysis has developed into a research field in its own right with a
thriving theoretical community and a rapidly expanding range of applications in
information and knowledge processing including visualization, data analysis
(mining) and knowledge management and discovery.
The ICFCA conference series aims at bringing together researchers and
practitioners working on theoretical or applied aspects of Formal Concept
Analysis within major related areas such as Mathematics and Computer and
Information Sciences and their diverse applications to fields like Software
Engineering, Linguistics, Life and Social Sciences, etc.
All accepted submissions will be refereed, and the conference proceedings will
be published by Springer in the LNCS/LNAI series.
* Topics
Main topics of interest include, but are not limited to:
** Fundamental aspects of FCA
- FCA theory
- Lattice theory
- Lattice drawing
- Philosophical foundations
- Algorithms and complexity theory
** Bridging FCA to information sciences and artificial intelligence
- FCA and logic, e.g., semantic web, description logics
- FCA and conceptual structures, e.g., concept graphs, knowledge spaces
- FCA and data analysis, e.g., hierarchical classification, data organization
- FCA and data mining, e.g., pattern mining
- FCA and information retrieval, e.g. exploratory search, navigation, querying
- FCA and machine learning, e.g., learning with hypothesis, feature selection
- FCA and database theory, e.g., dependencies, rules, data cubes
- FCA and software engineering
- FCA and morphological mathematics
** Understanding, modelling real-world data and phenomena with FCA
- Analysis of "big data" with FCA, e.g., sampling, parallel computing
- Analysis of social networks and their dynamics
- Applications for scientific data analysis, e.g., in biology or health care
- Applications for sensors data and user interactions traces
- Other FCA applications
* Submission Details
We invite scientific publications on theory and applications of Formal Concept
Analysis. Papers of up to sixteen pages may be submitted in the PDF format via
the Easychair system
<https://easychair.org/conferences/?conf=icfca2017>.
Authors are requested to follow the formatting instructions for the Springer
LNCS style.[1] Submissions in LaTeX2e are preferred. Authors are encouraged to
provide an ORCID alongside their submission.[2]
Accepted papers have to be presented at the conference. Therefore, at least one
author per paper has to register timely.
[1]: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
[2]: https://www.springer.com/gp/authors-editors/orcid
* Important Dates
Submission of abstract: December 12, 2016
Submission of full paper: December 19, 2016
Notification of acceptance: February 6, 2017
Camera ready due: February 27, 2017
Conference: June 12—16, 2017
* Organization
The conference will be hosted by IRISA[3] and Centre de Recherche Inria Bretagne
Atlantique[4].
[3]: https://www.irisa.fr/en
[4]: https://www.inria.fr/centre/rennes
** Conference Chairs
Peggy Cellier, IRISA, INSA Rennes, France
Sébastien Ferré, IRISA, University Rennes 1, France
** Program Chairs
Karell Bertet, L3I, Université de La Rochelle, France
Daniel Borchmann, Technische Universität Dresden, Germany
** Editorial Board (to be confirmed)
Jaume Baixeries, Polytechnic University of Catalonia, Catalonia
Peggy Cellier, IRISA lab, Rennes, France
Florent Domenach, Akita International University, Japan
Peter Eklund, IT University of Copenhagen, Denmark
Sebastien Ferré, Université de Rennes 1, France
Bernhard Ganter, Technische Universität Dresden, Germany
Cynthia Vera Glodeanu
Mehdi Kaytoue, INSA-Lyon, LIRIS, France
Sergei Kuznetsov, Higher School of Economics, Moscow, Russia
Leonard Kwuida, Bern University of Applied Sciences
Rokia Missaoui, Université du Québec en Outaouais (UQO), Canada
Amedeo Napoli, LORIA, Nancy, France
Sergei Obiedkov, Higher School of Economics, Moscow, Russia
Manuel Ojeda-Aciego, University of Malaga, Spain
Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany
Sebastian Rudolph, Technische Universität Dresden, Germany
Christian Sacarea, Babes-Bolyai University of Cluj-Napoca, Romania
Stefan E. Schmidt, Technische Universität Dresden, Germany
Gerd Stumme, Universität Kassel, Germany
Petko Valtchev, Université du Québec à Montréal, Canada
Karl Erich Wolff, University of Applied Sciences, Darmstadt, Germany
** Honorary Members
Vincent Duquenne, ECP6-CNRS, Université Paris 6, France
Rudolf Wille, Technische Universität Darmstadt, Germany
** Program Committee (to be confirmed)
Simon Andrews, Sheffield Hallam University, United Kingdom
François Brucker, Centrale Marseille, France
Claudio Carpineto, Fondazione Ugo Bordoni, Italy
Pablo Cordero, University of Málaga, Spain
Jean Diatta, Université de la Réunion, France
Felix Distel, d-fine GmbH, Germany
Christophe Demko, L3I lab, Université de La Rochelle, France
Stephan Doerfel, MICROMATA GmbH, Germany
Alain Gély, Université Paul Verlaine, Metz, France
Robert Godin, Université du Québec à Montréal, Canada
Marianne Huchard, LIRMM, Université Montpellier, France
Dmitry Ignatov, Higher School of Economics, Moscow, Russia
Robert Jäschke, University of Sheffield, England
Michal Krupka, Palacky University, Olomouc, Czech Republic
Marzena Kryszkiewicz, Warsaw University of Technology, Poland
Wilfried Lex, Universität Clausthal, Germany
Jesús Medina, Cadiz University, Spain
Engelbert Mephu Nguifo, LIMOS, Université de Clermont Ferrand 2, France
Lhouari Nourine, LIMOS, Université de Clermont Ferrand 2, France
Jan Outrata, Palacky University of Olomouc, Czech Republic
Jean-Marc Petit, LIRIS, INSA Lyon, France
Sandor Radeleczki, University of Miskolc, Hungary
Barış Sertkaya, Frankfurt University of Applied Sciences
Laszlo Szathmary, University of Debrecen, Hungary
Andreja Tepavčević, University of Novi Sad, Serbia
Jean-François Viaud, L3I lab, Université de La Rochelle, France
--
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Dr. rer. nat. Daniel Borchmann
Postdoctoral Research Associate
Technische Universität Dresden
Fakultät Informatik
Institut für Theoretische Informatik
Lehrstuhl für Automatentheorie
01062 Dresden
Tel.: +49 351 463-38351
E-Mail: daniel.borchmann@tu-dresden.de
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
------------------------------
Message: 2
Date: Thu, 8 Sep 2016 14:48:39 +0000 (UTC)
From: Maxim Sviridenko <sviri@yahoo-inc.com>
To: "dmanet@zpr.uni-koeln.de" <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] position openings in the heart of New York City
Message-ID: <1819072351.948243.1473346119172@mail.yahoo.com>
Content-Type: text/plain; charset=UTF-8
Yahoo Research is growing its strategic research teams to enablethe company to build new products and platforms that our customers need, nowand in the future. We have exciting job openings in several technical focusareas that are located in our New York City office locatedone block from the Times Square.
We hire the best scientific minds who like to roll up theirsleeves, make new discoveries and contribute to the success of the business. Weare looking for Research Scientists with a PhD degree in Computer Science,Electrical Engineering or Mathematical Optimization. Our scientists specializein designing and building scalable and reliable distributed and parallelsystems that serve all the aspects of big data like data mining, optimization, machinelearning, computational economics and analytics. We design innovativealgorithms to push the capacity, performance and reliability of our platforms,exploit novel hardware and software architectures, and evaluate the impact inWeb-scale production settings. We actively contribute to the scientific andopen source communities in foundations of Computer Science, Machine Learning,Mathematical Optimization and Computational Economics.
Here are somereasons to explore this opportunity:
1. We have a huge number of research problems to solve thatlie on the intersection of Optimization, Machine Learning and ComputationalEconomics. If you are an expert in one of these fields and want to expand yourresearch profile this is an ideal place for you.
2. We work on game changing products and solutions, you canquickly see how your research ideas and algorithms influence revenue and userengagement.
3. We care about youcontinuing your fundamental research, publishing papers and keeping track ofthe latest technologies developed in your respective field.
Responsibilities Include:
· Deepdive into the data to understand and apply patterns, while maintaining a senseof the big picture.
· Work closely with colleagues on theengineering team to put research results into action.
· Provide thought leadership to guidethe direction of Yahoo products and services.
· Push your own research agenda and lookto influence our products and services with your expertise.
Required Skills and Qualifications
· PhD inComputer Science, Electrical Engineering or Mathematical Optimization.
· Strong research track record (academicor industrial) in one of the following areas: Mathematical Optimization andAlgorithm Design, Data Analytics, Machine Learning, ComputationalEconomics (auctions, pricing, mechanism design) or related areas.
· Strong design andimplementation skills in Java or C++. Experience with large-scale productioncode development a plus.
· Ability to conduct research that is justified and guided bybusiness opportunities.
· Strong communication and presentation skills.
The soft application deadline is November 10, 2015. Pleasesend your CV and a short letter of interest to Maxim Sviridenko (sviri@yahoo-inc.com).
------------------------------
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End of dmanet Digest, Vol 103, Issue 6
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