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Ingo Feinerer

Contact information

Database and Artificial Intelligence Group
Institute of Information Systems
Vienna University of Technology

E-mail: lastname at dbai dot tuwien dot ac dot at
PGP: Ingo Feinerer's public key. Fingerprint: D31F 210D B128 0D00 10AE CA98 0C74 2B04 270C D540
TISS: Ingo Feinerer
TUWIS++: Ingo Feinerer

Description

I obtained my PhD in computer science at TU Vienna in 2007. My advisor was Gernot Salzer. Subsequently I was postdoctoral visiting scholar at the computer science department of Carnegie Mellon university collaborating with Edmund Clarke and his group. In 2008 I received my PhD in business administration at WU Vienna under the guidance of Kurt Hornik. Now I am assistant professor at the Database and Artificial Intelligence Group of TU Vienna.


Teaching

Lectures Winter Term 2011/2012

Lectures Summer Term 2011

Publications

Please do not hesitate to contact me for individual papers in case you have problems obtaining the published versions from official repositories.

Journal Papers

[1] Angela Bohn, Ingo Feinerer, Kurt Hornik, and Patrick Mair. Content-based social network analysis of mailing lists. The R Journal, 3(1):11-18, June 2011.
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[2] Alexandros Karatzoglou and Ingo Feinerer. Kernel-based machine learning for fast text mining in R. Computational Statistics & Data Analysis, 54(2):290-297, February 2010.
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[3] Andreas Falkner, Ingo Feinerer, Gernot Salzer, and Gottfried Schenner. Computing product configurations via UML and integer linear programming. International Journal of Mass Customisation, 3(4):351-367, 2010.
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[4] Ingo Feinerer and Gernot Salzer. A comparison of tools for teaching formal software verification. Formal Aspects of Computing, 21(3):293-301, May 2009.
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[5] Ingo Feinerer. An introduction to text mining in R. R News, 8(2):19-22, October 2008.
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[6] Ingo Feinerer, Kurt Hornik, and David Meyer. Text mining infrastructure in R. Journal of Statistical Software, 25(5):1-54, March 2008.
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Conference Papers

[1] Ingo Feinerer, Gernot Salzer, and Tanja Sisel. Reducing multiplicities in class diagrams. In Jon Whittle, Tony Clark, and Thomas Kühne, editors, Model Driven Engineering Languages and Systems, 14th International Conference, MODELS 2011, Wellington, New Zealand, October 16-21, 2011. Proceedings, volume 6981 of Lecture Notes in Computer Science, pages 379-393. Springer-Verlag, October 2011.
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[2] Ingo Feinerer. Efficient configuration and verification of software product lines. In Ina Schaefer, Isabel John, and Klaus Schmid, editors, Proceedings of the 15th International Software Product Line Conference, Munich, Germany, August 22-26, 2011, page 49. Association for Computing Machinery, 2011.
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[3] Ingo Feinerer, Reinhard Pichler, Emanuel Sallinger, and Vadim Savenkov. On the undecidability of the equivalence of second-order tuple generating dependencies. In Pablo Barceló and Val Tannen, editors, Proceedings of the 5th Alberto Mendelzon International Workshop on Foundations of Data Management, Santiago, Chile, May 9-12, 2011, volume 749 of CEUR Workshop Proceedings. CEUR-WS.org, 2011.
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[4] Ingo Feinerer. Analysis and algorithms for stemming inversion. In Pu-Jen Cheng, Min-Yen Kan, Wai Lam, and Preslav Nakov, editors, Information Retrieval Technology - 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010. Proceedings, volume 6458 of Lecture Notes in Computer Science, pages 290-299. Springer-Verlag, December 2010.
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[5] Angela Bohn, Stefan Theußl, Ingo Feinerer, Kurt Hornik, Patrick Mair, and Norbert Walchhofer. A new SNA centrality measure quantifying the distance to the nearest center. In Hermann Locarek-Junge and Claus Weihs, editors, Classification as a Tool for Research (Proceedings of the 11th Conference of the International Federation of Classification Societies, University of Dresden, March 13-18, 2009), Studies in Classification, Data Analysis, and Knowledge Organization, pages 579-586. Springer-Verlag, 2010.
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[6] Ingo Feinerer and Alexandros Karatzoglou. Support vector machines for large scale text mining in R. In Yves Lechevallier and Gilbert Saporta, editors, COMPSTAT 2010-Proceedings in Computational Statistics, pages 999-1006. Physica-Verlag, Heidelberg, Germany, 2010.
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[7] Alexandros Karatzoglou, Ingo Feinerer, and Kurt Hornik. Nonparametric distribution analysis for text mining. In Advances in Data Analysis, Data Handling and Business Intelligence (Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg, July 16-18, 2008), Studies in Classification, Data Analysis, and Knowledge Organization, pages 295-305. Springer-Verlag, 2009.
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[8] Andreas Falkner, Ingo Feinerer, Gernot Salzer, and Gottfried Schenner. Solving practical configuration problems using UML. In Proceedings of ECAI 2008 Workshop on Configuration Systems, pages 1-6, 2008.
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[9] Ingo Feinerer and Kurt Hornik. Text mining of supreme administrative court jurisdictions. In C. Preisach, H. Burkhardt, L. Schmidt-Thieme, and R. Decker, editors, Data Analysis, Machine Learning, and Applications (Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007), Studies in Classification, Data Analysis, and Knowledge Organization, pages 569-576. Springer-Verlag, 2008.
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[10] Ingo Feinerer and Alexandros Karatzoglou. Fast text mining using kernels in R. In Paula Brito, editor, COMPSTAT 2008-Proceedings in Computational Statistics, pages 813-821. Physica-Verlag, Heidelberg, Germany, 2008.
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[11] Ingo Feinerer and Gernot Salzer. Consistency and minimality of UML class specifications with multiplicities and uniqueness constraints. In Proceedings of the 1st IEEE/IFIP International Symposium on Theoretical Aspects of Software Engineering, June 6-8, 2007, Shanghai, China, pages 411-420. IEEE Computer Society Press, 2007.
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[12] Ingo Feinerer and Fridolin Wild. Automated coding of qualitative interviews with latent semantic analysis. In H.C. Mayr and D. Karagiannis, editors, Proceedings of the 6th International Conference on Information Systems Technology and its Applications, May 23-25, 2007, Kharkiv, Ukraine, volume 107 of Lecture Notes in Informatics, pages 66-77, Bonn, Germany, 2007. Gesellschaft für Informatik e.V.
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[13] Alexandros Karatzoglou and Ingo Feinerer. Text clustering with string kernels in R. In R. Decker and H.-J. Lenz, editors, Advances in Data Analysis (Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006), Studies in Classification, Data Analysis, and Knowledge Organization, pages 91-98. Springer-Verlag, 2007.
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[14] Ingo Feinerer and Gernot Salzer. Automated tools for teaching formal software verification. In P. Boca, J.P. Bowen, and D.A. Duce, editors, Proceedings of Teaching Formal Methods: Practice and Experience, Electronic Workshops in Computing (eWiC), pages 15-19, BCS London Office, UK, 15 December 2006. British Computing Society, BCS.
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Theses

[1] Ingo Feinerer. A Text Mining Framework in R and Its Applications. PhD thesis, Department of Statistics and Mathematics, Vienna University of Economics and Business, October 2008.
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[2] Ingo Feinerer. A Formal Treatment of UML Class Diagrams as an Efficient Method for Configuration Management. PhD thesis, Theory and Logic Group, Institute of Computer Languages, Vienna University of Technology, March 2007.
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Software

[1] Ingo Feinerer. tm: Text Mining Package, 2012. R package version 0.5-7.1.
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