
Hinweis: Christoph Scholz ist seit dem 30.04.2015 nicht mehr im Fachgebiet beschäftigt.
Dr. Christoph Scholz
E-Mail: scholz@cs.uni-kassel.de
Research Interests
I am interested in the following topics of research:
- Machine Learning
- Data Mining
- Social Network Analysis
- Link Prediction
- Indoor Localization
Conference Talks
- ISMIS 2014, Roskilde, Denmark
- ASONAM 2013, Niagara Falls, Canada
- ICWSM 2013, Boston, MA, USA
- SocialCom 2012, Amsterdam, The Netherlands
- Hypertext 2012, Milwaukee, WI, USA
- ECML-PKDD 2011, Athens, Greece
PC Chair
- 5th International Workshop on Mining Ubiquitous and Social Environments (MUSE), 15-19 September 2014, Nancy, France
- 4th International Workshop on Mining Ubiquitous and Social Environments (MUSE), 23-27 September 2013, Prague, Czech Republic
PC Member
- The 2014 IEEE International Conference on Cyber, Physical and Social Computing, 01-03 September 2014, Taipei, Taiwan
- 5th International Workshop on Modeling Social Media: Mining Big Data in Social Media and the Web (MSM 2014), 7 April 2014, Seoul, Korea.
- The 2013 IEEE International Conference on Cyber, Physical and Social Computing, 20-23 August 2013, Beijing, China
- 24th ACM Conference on Hypertext and Social Media, 1–3 May 2013, Paris, France
- Workshop „Knowledge Discovery, Data Mining, Maschinelles Lernen 2010“ der Fachgruppe KDML, 4-6 October 2010, Kassel, Germany
Teaching / Lehre
- Sommersemester 2014
- Sommersemester 2013
- Wintersemester 2012/2013
- Sommersemester 2012
- Wintersemester 2011/2012
- Sommersemester 2011
- Wintersemester 2010/2011
- Sommersemester 2010
Projects
Publications
2014
- URLBibTeXEndNoteConnect-U: A System for Enhancing Social Networking. In: David, K., Geihs, K., Leimeister, J.M., Roßnagel, A., Schmidt, L., Stumme, G., and Wacker, A. (eds.) Socio-technical Design of Ubiquitous Computing Systems. pp. 261–275. Springer International Publishing (2014). https://doi.org/10.1007/978-3-319-05044-7_15.
- URLBibTeXEndNoteMining Social Links for Ubiquitous Knowledge Engineering. In: David, K., Geihs, K., Leimeister, J.M., Roßnagel, A., Schmidt, L., Stumme, G., and Wacker, A. (eds.) Socio-technical Design of Ubiquitous Computing Systems. pp. 109–129. Springer International Publishing (2014). https://doi.org/10.1007/978-3-319-05044-7_7.
- BibTeXEndNoteOn the Predictability of Recurring Links in Networks of Face-to-Face Proximity. In: [accepted/to appear] (ed.) 5th International Workshop on Modeling Social Media: Mining Big Data in Social Media at the 23rd International World Wide Web Conference, WWW 2014. , Seoul, South Korea (2014).