Download PDF - HCI-KDD

HolzingerGroup–ResearchTracks
KnowledgeDiscoveryandInteractiveMachineLearning
”Scienceistotestcrazyideas–EngineeringistobringtheseideasintoBusiness”
Smart
health and ubiquitous biomedical sensor networks [1], produce large, complex, high‐
dimensional,weakly‐structureddatasets[2],andincreasingvolumesofunstructuredinformation[3].
Whetherinsocialnetworks[4],orinbiomedicineandhealth[5],theseincreasinglylargerdatarequire
novelefficientanduseablesolutionsandapplicationsofintelligentubiquitouscomputing.
A synergistic combination of methodologies of two areas offer ideal conditions towards unraveling
data problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD)
with the goal to support human intelligence with machine learning, to discover novel, previously
unknowninsightsintothedata[6].
We work passionately on innovative topics, e.g. on (❶ see picture below) data integration, data
fusion, data preprocessing, as well as in mapping of data from
→ [7, 8]; on (❷) interactive
algorithms in machine learning („human‐in‐the‐loop“) (Deep Learning vs. Shallow Learning), incl.
evolutionary algorithms [9, 10]; on graph‐based data mining (❸,[11]), entropy‐based data mining
(❹,[12]), andonalgebraic‐topologicalapproaches(❺,[13]);eventually,onuser‐centered/interactive
visualizationoftheresults(❻, 14,15 .Across‐sectionalmandatorytopicalongallourareasisdata
protection,privacy,safetyandsecurity(❼ 16,17 .
Contact:Assoc.Prof.Dr.AndreasHOLZINGER
InstituteforMedicalInformatics,MedicalUniversityGraz(MUG)
Auenbruggerplatz2/V,A‐8036Graz(Austria)
Phone:++4331638513883,Fax:++4331638513590
http://hci‐kdd.org,E‐Mail:a.holzingerAThci‐kdd.org
http://scholar.google.com/citations?user=BTBd5V4AAAAJ&hl=en
TechnicalArea:KnowledgeDiscovery/DataMining,interactiveMachineLearning
ApplicationArea:BiomedicalInformatics,Smarthealth,PersonalizedMedicine
Seite1von2
HolzingerGroup–ResearchTracks
1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. Holzinger, A., Nischelwitzer, A., Friedl, S., Hu, B.: Towards life long learning: three models for ubiquitous applications. Wireless Communications and Mobile Computing 10(10), 1350‐1365 (2010) Holzinger, A., Stocker, C., Dehmer, M.: Big Complex Biomedical Data: Towards a Taxonomy of Data. In: Obaidat, M.S., Filipe, J. (eds.) Communications in Computer and Information Science CCIS 455, pp. 3‐18. Springer Berlin Heidelberg (2014) Holzinger, A., Schantl, J., Schroettner, M., Seifert, C., Verspoor, K.: Biomedical Text Mining: Open Problems and Future Challenges. In: Holzinger, A., Jurisica, I. (eds.) Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State‐of‐the‐Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401, pp. 271‐300. Springer, Heidelberg, Berlin (2014) Petz, G., Karpowicz, M., Fürschuß, H., Auinger, A., Stříteský, V., Holzinger, A.: Computational approaches for mining user’s opinions on the Web 2.0. Information Processing & Management 50(6), 899‐908 (2014) Holzinger, A., Dehmer, M., Jurisica, I.: Knowledge Discovery and interactive Data Mining in Bioinformatics ‐ State‐
of‐the‐Art, future challenges and research directions. BMC Bioinformatics 15(S6), I1 (2014) Holzinger, A.: Human–Computer Interaction and Knowledge Discovery (HCI‐KDD): What is the benefit of bringing those two fields to work together? In: Cuzzocrea, A., Kittl, C., Simos, D.E., Weippl, E., Xu, L. (eds.) Multidisciplinary Research and Practice for Information Systems, Springer Lecture Notes in Computer Science LNCS 8127, pp. 319‐
328. Springer, Heidelberg, Berlin, New York (2013) Holzinger, A., Malle, B., Giuliani, N.: On Graph Extraction from Image Data. In: Slezak, D., Peters, J.F., Tan, A.‐H., Schwabe, L. (eds.) Brain Informatics and Health, BIH 2014, Lecture Notes in Artificial Intelligence, LNAI 8609, pp. 552‐563. Springer, Heidelberg, Berlin (2014) Holzinger, A., Malle, B., Bloice, M., Wiltgen, M., Ferri, M., Stanganelli, I., Hofmann‐Wellenhof, R.: On the Generation of Point Cloud Data Sets: the first step in the Knowledge Discovery Process. In: Holzinger, A., Jurisica, I. (eds.) Interactive Knowledge Discovery and Data Mining, Springer Lecture Notes in Computer Science LNCS 8401, pp. 57‐80. Springer, Berlin, Heidelberg (2014) Holzinger, A., Blanchard, D., Bloice, M., Holzinger, K., Palade, V., Rabadan, R.: Darwin, Lamarck, or Baldwin: Applying Evolutionary Algorithms to Machine Learning Techniques. In: The 2014 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2014), pp. 449‐453. IEEE, (2014) Holzinger, K., Palade, V., Rabadan, R., Holzinger, A.: Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining. In: Holzinger, A., Jurisica, I. (eds.) Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State‐of‐the‐Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401, pp. 35‐56. Springer, Heidelberg, Berlin (2014) Holzinger, A., Ofner, B., Dehmer, M.: Multi‐touch Graph‐Based Interaction for Knowledge Discovery on Mobile Devices: State‐of‐the‐Art and Future Challenges. In: Holzinger, A., Jurisica, I. (eds.) Interactive Knowledge Discovery and Data Mining: State‐of‐the‐Art and Future Challenges in Biomedical Informatics, Springer Lecture Notes in Computer Science LNCS 8401, pp. 241–254. Springer, Berlin, Heidelberg (2014) Holzinger, A., Hortenhuber, M., Mayer, C., Bachler, M., Wassertheurer, S., Pinho, A., Koslicki, D.: On Entropy‐
based Data Mining. In: Holzinger, A., Jurisica, I. (eds.) Interactive Knowledge Discovery and Data Mining: State‐of‐
the‐Art and Future Challenges in Biomedical Informatics. Lecture Notes in Computer Science LNCS 8401, pp. 209‐
226. Springer, Heidelberg, Berlin (2014) Holzinger, A.: On Topological Data Mining. In: Holzinger, A., Jurisica, I. (eds.) Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State‐of‐the‐Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401, pp. 331‐356. Springer, Heidelberg, Berlin (2014) Mueller, H., Reihs, R., Zatloukal, K., Holzinger, A.: Analysis of biomedical data with multilevel glyphs. BMC Bioinformatics 15(Suppl 6), S5 (2014) Holzinger, A., Schwarz, M., Ofner, B., Jeanquartier, F., Calero‐Valdez, A., Roecker, C., Ziefle, M.: Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi‐touch Tablet Computers. In: Teufel, S., Tjoa, A.M., You, I., Weippl, E. (eds.) Availability, Reliability, and Security in Information Systems, LNCS 8708, pp. 124‐137. Springer, Heidelberg, Berlin (2014) Kieseberg, P., Hobel, H., Schrittwieser, S., Weippl, E., Holzinger, A.: Protecting Anonymity in the Data‐Driven Medical Sciences. In: Holzinger, A., Jurisica, I. (eds.) Interactive Knowledge Discovery and Data Mining: State‐of‐
the‐Art and Future Challenges in Biomedical Informatics, Springer Lecture Notes in Computer Science LNCS 8401, pp. 303‐318. Springer, Berlin, Heidelberg (2014) Weippl, E., Holzinger, A., Tjoa, A.M.: Security aspects of ubiquitous computing in health care. Springer Elektrotechnik & Informationstechnik, e&i 123(4), 156‐162 (2006)
∎
Seite2von2