Human-Computer Interaction & Knowledge Discovery @ CD-ARES’13, September. 2-6, Regensburg, Germany

ares_headSpecial Session – Papers due to May, 15, 2013 (Camera Ready: June, 11, 2013) >>> confdriver
http://cd-ares-conference.eu
Organization: Andreas HOLZINGER <expertise> & Matthias DEHMER <expertise> & Igor JURISICA
Inquiries: a.holzinger AT hci4all.at

We are facing a flood of big data – most of it “unstructured” or weakly structured.

One of the grand challenges in our networked world are the large, complex, and often weakly structured data sets. These increasingly monstrous amounts of data require new, efficient and user-friendly solutions for knowledge discovery. This challenge is most evident in the biomedical domain: the trend towards personalized medicine has resulted in an explosion in the amount of generated biomedical data.

The ultimate goal of the task force HCI-KDD is to combine the best of two worlds: Human–Computer Interaction (HCI), with emphasis on human intelligence, and Knowledge Discovery from Data (KDD), dealing with computational intelligence.

The cross-domain integration and appraisal of different fields provide an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into Business.

This special session is organized in the context of the CD-ARES 2013, September, 2-6, 2013, Regensburg, Germany. CD stands for Cross-Domain. The mission is to bring together researchers from diverse areas in an highly inter-disciplinary manner, to stimulate fresh ideas and encourage multi-disciplinary work.

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Accepted papers will be published in the conference proceedings by Springer as a volume of the series of Lecture Notes in Computer Science (LNCS). Please submit via the confdriver system (paper length between 6 and max. 16 pages, but ensure even page numbers: 6,8, … , 14,16). It is planned to select candidates of best papers to submit a paper for a special issue in BMC Bioinformatics. Some hot topics include but are not limited to …

  • Graph-based Knowledge Discovery (e.g. Knowledge Discovery with graph entropy, biological networks, etc.)
  • Structural Graph Analysis (e.g. in Biology, Systems Biology, Medicine and Image Analysis, etc.)
  • Methods for Structural Network Analysis (e.g. graph measures and properties thereof, information-theoretic techniques such as entropy, etc.)
  • Knowledge Discovery from complex networks (e.g. large social networks, large biomedical data, protein-protein networks, epigenetics data etc.)
  • Interactive Content Analytics from “unstructured” text data (e.g. computational topology in text mining, text analytics, NLP, linguistics etc.)
  • Big Data Analytics methodologies, methods, approaches and tools (e.g. Hadoop, R, RStudio, Rapid Miner, KNIME, ELKI, etc. )
  • Multimedia Data Mining & Knowledge Discovery from multimedia data (e.g from the biomedical informatics domain etc.)
  • Swarm Intelligence (collective intelligence, crowdsourcing) and collaborative Knowledge Discovery/Data Mining/Decision Making
  • Intelligent, interactive, semi-automatic, multivariate Information Visualization and Visual Analytics (e.g. in the life sciences etc.)
  • Interactive multimedia Data Exploration and Sensemaking from large amounts of biomedical data (e.g. Omics data etc.)
  • Time-Oriented Data and Information (e.g. longitudinal data, complex noisy time series, entropy methods, …)
  • Novel Search User Interaction Techniques (supporting human intelligence with computational intelligence)
  • Future Knowledge Discovery Techniques (Note: science fiction of today is science fact of tomorrow)
  • Modeling of Human Discovery and exploration Behavior and Understanding Human Information Needs
  • Knowledge Discovery methods and methodologies (e.g. Support Vector Machines, Boltzmann machines, Evolutionary computing …)
  • Topological Data Analyis (e.g. in images, biomed data, medical diagnostics, clinical assessment, …)
  • Special HCI-KDD solutions in the biomedical domain (e.g. bioinformatics, genome analysis, genetics, epigentics, evolution, …)
  • Practical HCI-KDD solutions in the hospital (e.g. content analytics in business enterprise hospital data, …)
    We are looking forward to your submission.

International Scientific Committee:
Amin ANJOMSHOAA, Vienna University of Technology, AT <expertise>
Matthieu d’AQUIN, The Open University, Milton Keynes, UK <expertise>
Joel P. ARRAIS, University of Coimbra, PT <expertise>
Mounir BEN AYED, Ecole Nationale d’Ingenieurs de Sfax (ENIS) & Universitaet de Sfax, TN <expertise>
Matt-Mouley BOUAMRANE, University of Glasgow, UK <expertise>
Polo CHAU, Carnegie Mellon University, US <expertise>
Chaomei CHEN, Drexel University, US <expertise>
Nitesh V. CHAWLA, University of Notre Dame, US <expertise>
Matthias DEHMER, Universität für Gesundheitswissenschaften, Medizinische Informatik & Technik, AT <expertise>
Tomasz DONAROWICZ, Wroclaw University of Technology, PL
Achim EBERT, Technical University Kaiserslautern, DE
Max J. EGENHOFER, University of Maine, US
Kapetanios EPAMINONDAS, University of Westminster, London, UK <expertise>
Massimo FERRI, University of Bologna, IT
Alexandru FLOARES, Oncological Institute Cluj-Napoca, RO
Ana FRED, IST – Technical University of Lisbon, PT <expertise>
Adinda FREUDENTHAL, Technical University Delft, NL
Hugo GAMBOA, Universidade Nova de Lisboa, PT <expertise>
Venu GOVINDARAJU, University of Buffalo State New York, US <expertise>
Michael GRANITZER, University Passau, DE <expertise>
Dimitrios GUNOPULOS, University of Athens, GR <expertise>
Siegfried HANDSCHUH, Digital Enterprise Research Institute, DERI, IE <expertise>
Helwig HAUSER, University of Bergen, NO <expertise>
Andreas HOTHO, University of Würzburg, DE <expertise>
Jun Luke HUAN, University of Kansas, Lawrence, US <expertise>
Anthony HUNTER, UCL University College London, UK <expertise>
Alfred INSELBERG, Tel Aviv University, IL
Kalervo JAERVELIN, University of Tampere, FI
Jiri­ KLEMA, Czech Technical University, Prague, CZ <expertise>
Lubos KLUCAR, Slovak Academy of Sciences, Bratislava, SK
David KOSLICKI, Pennsylvania State University, US
Patti KOSTKOVA, City University London, UK <expertise>
Damjan KRSTAJIC, Research Centre for Cheminformatics, Belgrade, RS
Natsuhiko KUMASAKA, Center for Genomic Medicine (CGM), Tokyo, JP
Nada LAVRAC, Joszef Stefan Institute, Ljubljana, SI
Pei Ling LAI, Southern Taiwan University, TW
Alexander LEX, Harvard University, Cambridge (MA), US <expertise>
Chunping LI, Tsinghua University, CN
Luca LONGO, Trinity College Dublin, IE <expertise>
Lenka LHOTSKA, Czech Technical University Prague, CZ <expertise>
Andras LUKACS, Hungarian Academy of Sciences and Eoetvos University, Budapest, HU <expertise>
Avi MA’ AYAN, The Mount Sinai Medical Center, New York, US <expertise>
Ljiljana MAJNARIC-TRTICA, Josip Juraj Strossmayer University, Osijek, HR
Martin MIDDENDORF, University of Leipzig, DE
Silvia MIKSCH, Vienna University of Technology, Vienna, AT <expertise>
Antonio MORENO-RIBAS, Universitat Rovira i Virgili, Tarragona, ES <expertise>
Abbe MOWSHOWITZ, The City College of New York, US <expertise>
Marian MROZEK, Jagiellonian University, Krakow, PL
Daniel E. O’LEARY, University of Southern California, US <expertise>
Ant OZOK, UMBC, Baltimore, US
Vasile PALADE, University of Oxford, UK <expertise>
Jan PARALIC, Technical University of Kosice, SK
Valerio PASCUCCI, University of Utah, US <expertise>
Gabriela PASI, Università di Milano Bicocca, IT <expertise>
Armando J. PINHO, Universidade the Aveiro, PT <expertise>
Margit POHL, Vienna University of Technology, Vienna, AT
Paul RABADAN, Columbia University College of Physicians and Surgeons, New York, US <expertise>
Heri RAMAMPIARO, Norwegian University of Science and Technology, NO
Dietrich REBHOLZ, European Bioinformatics Institute, Cambridge, UK <expertise>
Gerhard RIGOLL, Munich University of Technology, DE
Lior ROKACH, Ben-Gurion University of the Negev, IL <expertise>
Carsten ROECKER, RWTH Aachen University, DE <expertise>
Giuseppe SANTUCCI, La Sapienza, University of Rome, IT
Reinhold SCHERER, Graz BCI Lab, Graz University of Technology, AT
Paola SEBASTIANI, Boston University, US <expertise>
Christin SEIFERT, University Passau, DE <expertise>
Tanja SCHULTZ, Karlsruhe Institute of Technology, DE <expertise>
Andrzej SKOWRON, University of Warszaw, PL <expertise>
Neil R. SMALHEISER, University of Illinois at Chicago, US
Rainer SPANG, University Regensburg, DE
Gregor STIGLIC, University of Maribor, SI <expertise>
Marc STREIT, Johannes-Kepler University Linz, AT <expertise>
A Min TJOA, Vienna University of Technology, AT <expertise>
Olof TORGERSSON, Chalmers University of Technology and University of Gothenburg, Goeteburg, SE <expertise>
Patricia ORDONEZ-ROZO, University of Maryland, Baltimore County, Baltimore, US
Jianhua RUAN, University of Texas at San Antonio, US <expertise>
Pak Chung WONG, Pacific Northwest Laboratory, Washington, US <expertise>
William WONG, Middlesex University London, UK
Kai XU, Middlesex University London, UK <expertise>
Pinar YILDIRIM, Okan University, Istanbul, TR <expertise>
Martina ZIEFLE, RWTH Aachen University, DE <expertise>
Ning ZHONG, Maebashi Institute of Technology, JP
Xuezhong ZHOU, Beijing Jiaotong University, CN <expertise>

International Industrial Application Committee:
Peter BAK, IBM Haifa Research Lab, Mount Carmel, IL
Alberto BRABENETZ, IBM Vienna Austria, AT
Anni R. CODEN, IBM T.J. Watson Research Center New York, US
Stefan JASCHKE, IBM Vienna Austria, AT
Homa JAVAHERY, IBM Centers for Solution Innovation, CA
Igor JURISICA, IBM Life Sciences Discovery Centre, CA
Alek KOLCZ, Twitter Inc, US <expertise>
Jie LU, IBM Thomas J. Watson Research Center, Hawthorne, New York, US
Sriganesh MADHVANATH, Hewlett-Packard Laboratories Bangalore, IN <expertise>
Roberto MIRIZZI, Hewlett-Packard Laboratories Palo Alto, US <expertise>
Laxmi PARIDA, IBM Thomas J. Watson Research Center. Yorktown Heights, New York, US
Hugo SILVA, PLUX Wireless Biosensors, Lisboa, PT <expertise>
Gurjeet SINGH, AYASDI, US <expertise>
Dan T. TECUCI, SIEMENS Corporate Research Princeton, US <expertise>
Ulli WALTINGER, SIEMENS Business Analytics, DE <expertise>
Raffael WIEMKER, Philips Research Hamburg, DE <expertise>
Minlu ZHANG, NEXTBIO, US <expertise>

International Student’s Commitee:
Andre CALERO-VALDEZ, RWTH Aachen, DE <expertise>
Pavel DLOTKO, Jagiellonian University, PL
Markus FASSOLD, Medical University Graz, AT
Igor PERNEK, University of Maribor, SI
Vito Claudio OSTUNI, Politecnico di Bari, IT <expertise>
Christof STOCKER, Medical University Graz, AT <expertise>
Hubert WAGNER, Jagiellonian University, PL <expertise>

We are looking forward to working with you!

Keywords: Algebraic Topology, Analysis, Analytics, Big Data, Bioinformatics, Biology, Biomedical Informatics, Boltzmann, Complex, Computational, Computational Topology, Content Analytics, Context, Data, data deluge, data rich, Discovery, ELKI, Entropy, Evolution, Exploration, Graph, graph-based, Hadoop, HCI, Health, Health Care, Hospital, Images, Hypotheses, Human-in-the-loop, Informatics, Information, information-theory, Intelligence, Interaction, Interactive, KNIME, Knowledge, Life sciences, Linguistics, longitudinal, Medical, Metaknowledge, Mining, modelling, multidimensional, multivariate, Network, noisy, Open data, open linked data, open data visualization, Protein-protein interaction, R, Rapid Miner, RStudio, Search, semi-automatic, Sensemaking, Structure, shape, text, time, time-oriented, time-series, Topology, Understanding, unstructured, Usability, Visualization, weakly structured