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Special Session
Special Session on
Human-Computer Interaction & Knowledge Discovery
 - HCI-KDD 2014

7 - 9 January, 2014 - Lisbon, Portugal

Within the International Conference on Physiological Computing Systems - PhyCS 2014



Andreas Holzinger
Medical University Graz
Brief Bio
Andreas Holzinger is lead of the Holzinger Group (Human-Centered AI) at the Medical University Graz and Visiting Professor for explainable AI at the Alberta Machine Intelligence Institute in Edmonton, Canada. Since 2016 he is Visiting Professor for Machine learning in health informatics at Vienna University of Technology. Andreas was Visiting Professor for Machine Learning & Knowledge Extraction in Verona, RWTH Aachen, University College London and Middlesex University London. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission. Andreas obtained a Ph.D. in Cognitive Science from Graz University in 1998 and his Habilitation in Computer Science from TU Graz in 2003. He founded the Network HCI-KDD to foster a synergistic combination of methodologies of two areas that offer ideal conditions toward unraveling problems in understanding intelligence towards context-adaptive systems: Human-Computer Interaction (HCI) & Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with artificial intelligence. Andreas is Associate Editor of Springer/Nature Knowledge and Information Systems (KAIS), Section Editor for Machine Learning of Springer/Nature BMC Medical Informatics and Decision Making (MIDM), and Editor-in-Chief of Machine Learning & Knowledge Extraction (MAKE). In his function as Austrian Representative for Artificial Intelligence in IFIP TC 12, he is organizer of the IFIP Cross-Domain Conference “Machine Learning & Knowledge Extraction (CD-MAKE)” and is member of IFIP WG 12.9 Computational Intelligence, the ACM, IEEE, GI, the Austrian Computer Science and the Association for the Advancement of Artificial Intelligence (AAAI). Since 2003 Andreas has participated in leading positions in 30+ R&D multi-national projects, budget 6+ MEUR, 300+ publications, 11k+ citations, h-Index = 47.


A grand challenge in our networked world is the growth of data. A timely example can be found in the biomedical domain: the trend towards personalized medicine produces big data sets. However, in the life sciences, most data models are characterized by high complexity, which makes manual analysis very time-consuming, often impossible. Computational methods may help; however, we know that the problem-solving ability is located in the human mind and – not in Von-Neumann machines. A strategic aim to find solutions for data intensive problems could lay in the combination of two areas, which bring ideal pre-conditions: HCI deals with questions of human perception, cognition, intelligence, sensemaking, decision-making and interactive techniques of visualization; KDD deals mainly with questions of machine intelligence and data mining, in particular with the development of scalable algorithms for finding previously unknown relationships in data, thus centers on automatic computational methods. A proverb attributed perhaps incorrectly to Albert Einstein illustrates our aim maybe ideally: “Computers are incredibly fast, accurate, but stupid. Humans are incredibly slow, inaccurate, but brilliant. Together they may be powerful beyond imagination”. Consequently, our mission is in a novel approach to combine HCI & KDD in order to enhance human intelligence by computational intelligence.

This special session is organized in beautiful Lisbon in the context of the international conference on physiological computing systems, January, 7-9, 2014 . A 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.

Some hot topics include but are not limited to …

* … Interactive Knowledge Discovery from complex data (e.g. large social networks, 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.)
* … Interactive Knowlede Discovery 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
* … Advanced interactive Knowledge Discovery methods (e.g. Evolutionary computing, Boltzmann machines, …)
* … Interactive 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, …)

Paper Submission
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript are available at the Springer LNCS/LNAI manuscript submission guidelines (http://www.springer.de/comp/lncs/authors.html). Papers should be submitted electronically via the web-based submission system at: http://www.insticc.org/Primoris
Accepted papers will be published in the conference proceedings by Springer as a volume of the series of Lecture Notes in Computer Science (LNCS).
Previous Editions
2013 at Maribor, Slovenia (http://www.hci4all.at/hci-kddsouthchi13/)
2012 at Macau SAR, China (http://www.hci4all.at/hci-kdd-amt2012/)
2011 at Graz, Austria (http://www.hci4all.at/hci-kdd-usab2011/)


PhyCS Special Sessions - HCI-KDD 2014
e-mail: phycs.secretariat@insticc.org