Call for Papers
Special session Human-Computer Interaction and Knowledge Discovery
at CD-ARES 2013, September 2-6, Regensburg, Germany
http://www.hci4all.at/?page_id=1478
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 practice.
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.
Accepted papers will be published in the conference proceedings by
Springer as a volume of the series of Lecture Notes in Computer Science
(LNCS). It is planned to select best papers and to invite to expand
their contributions integrating the comments during the session 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) 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
* … 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,
best regards
Andreas Holzinger, Matthias Dehmer & Igor Jurisica
Science is to test ideas -
Engineering is to bring these ideas into Business
-----------------------------------------------------------------------
Assoc.Prof.Dr.Andreas HOLZINGER, PhD, MSc, MPh, BEng, CEng, DipEd, MBCS
Head Research Unit Human-Computer Interaction for Medicine and Health
Institute for Medical Informatics, Statistics and Documentation (IMI)
Medical University Graz (MUG)
Auenbruggerplatz 2/V, A-8036 Graz (Austria)
Phone: ++43 316 385 13883, Fax: ++43 316 385 13590
http://hci4all.at
http://user.meduni-graz.at/andreas.holzinger
http://genome.tugraz.at/medical_informatics.shtml
Enjoy Thinking. Taming Information. Support Knowledge.
--------------------------------------------------------------------
---------------------------------------------------------------
For news of CHI books, courses & software, join CHI-RESOURCES
mailto: [log in to unmask]
To unsubscribe from CHI-ANNOUNCEMENTS send an email to
mailto:[log in to unmask]
For further details of CHI lists see http://listserv.acm.org
---------------------------------------------------------------
|