2015

• On the undecidability of the equivalence of second-order tuple generating dependencies / Feinerer, I., Pichler, R., Sallinger, E., & Savenkov, V. (2015). On the undecidability of the equivalence of second-order tuple generating dependencies. Information Systems, 48, 113–129. https://doi.org/10.1016/j.is.2014.09.003
  Projects: HINT (2012–2017) / SEE (2012–2016)

2014

• Numeric semantics of class diagrams with multiplicity and uniqueness constraints / Salzer, G., & Feinerer, I. (2014). Numeric semantics of class diagrams with multiplicity and uniqueness constraints. Software and Systems Modeling, 13(3), 1167–1187. https://doi.org/10.1007/s10270-012-0294-4

2013

• Efficient large-scale configuration via integer linear programming / Feinerer, I. (2013). Efficient large-scale configuration via integer linear programming. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 27(1), 37–49. https://doi.org/10.1017/s0890060412000376
• Beyond the schools of psychology 1: A digital analysis of Psychological Review, 1894-1903 / Green, C., Feinerer, I., & Burman, J. (2013). Beyond the schools of psychology 1: A digital analysis of Psychological Review, 1894-1903. Journal of the History of the Behavioral Sciences, 49(2), 167–189. http://hdl.handle.net/20.500.12708/155581
• The textcat package for n-gram based text categorization in R / Hornik, K., Mair, P., Rauch, J., Geiger, W., Buchta, C., & Feinerer, I. (2013). The textcat package for n-gram based text categorization in R. Journal of Statistical Software, 52(6), 1–17. http://hdl.handle.net/20.500.12708/155579
• Class Diagrams with Equated Association Chains / Feinerer, I., Salzer, G., & Sisel, T. (2013). Class Diagrams with Equated Association Chains. In 2013 International Symposium on Theoretical Aspects of Software Engineering. 7th International Symposium on Theoretical Aspects of Software Engineering, Birmingham, EU. https://doi.org/10.1109/tase.2013.35
• UMAP: A Universal Layer for Schema Mapping Languages / Chertes, F., & Feinerer, I. (2013). UMAP: A Universal Layer for Schema Mapping Languages. In H. Decker, L. Lhotská, S. Link, J. Basl, & A. M. Tjoa (Eds.), Lecture Notes in Computer Science (pp. 349–363). Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-40173-2_28
• Lossless Horizontal Decomposition with Domain Constraints on Interpreted Attributes / Feinerer, I., Guagliardo, P., & Franconi, E. (2013). Lossless Horizontal Decomposition with Domain Constraints on Interpreted Attributes. In G. Gottlob, G. Grasso, D. Olteanu, & C. Schallhart (Eds.), Big Data (pp. 77–91). Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-39467-6_10

2012

• Numeric semantics of class diagrams with multiplicity and uniqueness constraints / Feinerer, I., & Salzer, G. (2012). Numeric semantics of class diagrams with multiplicity and uniqueness constraints. Software and Systems Modeling, 13(3), 1167–1187. https://doi.org/10.1007/s10270-012-0294-4
• A tm Plug-In for Distributed Text Mining in R / Theußl, S., Feinerer, I., & Hornik, K. (2012). A tm Plug-In for Distributed Text Mining in R. Journal of Statistical Software, 51(5), 1–31. http://hdl.handle.net/20.500.12708/164399
• Spherical k-Means Clustering / Hornik, K., Feinerer, I., Kober, M., & Buchta, C. (2012). Spherical k-Means Clustering. Journal of Statistical Software, 50(10), 1–22. http://hdl.handle.net/20.500.12708/164398
• Towards hybrid techniques for efficient declarative configuration / Feinerer, I. (2012). Towards hybrid techniques for efficient declarative configuration. In Proceedings of the Workshop on Configuration at ECAI 2012 (pp. 27–30). http://hdl.handle.net/20.500.12708/54424
• Configuration Repair via Flow Networks / Salzer, G., Feinerer, I., & Sisel, T. (2012). Configuration Repair via Flow Networks. In C. Li & A. Felfernig (Eds.), Lecture Notes in Computer Science (pp. 321–330). https://doi.org/10.1007/978-3-642-34624-8_37

2011

• Content-based social network analysis of mailing lists / Bohn, A., Feinerer, I., Hornik, K., & Mair, P. (2011). Content-based social network analysis of mailing lists. R Journal, 3(1), 11–18. http://hdl.handle.net/20.500.12708/162199
• Reducing Multiplicities in Class Diagrams / Feinerer, I., Salzer, G., & Sisel, T. (2011). Reducing Multiplicities in Class Diagrams. In Model Driven Engineering Languages and Systems (pp. 379–393). https://doi.org/10.1007/978-3-642-24485-8_27
• On the Undecidability of the Equivalence of Second-Order Tuple Generating Dependencies / Feinerer, I., Pichler, R., Sallinger, E., & Savenkov, V. (2011). On the Undecidability of the Equivalence of Second-Order Tuple Generating Dependencies. In P. Barceló & V. Tannen (Eds.), CEUR Workshop Proceedings (p. 13). http://hdl.handle.net/20.500.12708/53693
• Efficient configuration and verification of software product lines / Feinerer, I. (2011). Efficient configuration and verification of software product lines. In I. Schäfer, I. John, & K. Schmid (Eds.), Proceedings of the 15th International Software Product Line Conference on - SPLC ’11. ACM. https://doi.org/10.1145/2019136.2019193

2010

• Computing Product Configurations via UML and Integer Linear Programming / Falkner, A., Feinerer, I., Salzer, G., & Schenner, G. (2010). Computing Product Configurations via UML and Integer Linear Programming. International Journal of Mass Customisation, 3(4), 351. https://doi.org/10.1504/ijmassc.2010.037650
• Kernel-based machine learning for fast text mining in R / Karatzoglou, A., & Feinerer, I. (2010). Kernel-based machine learning for fast text mining in R. Computational Statistics & Data Analysis, 54(2), 290–297. https://doi.org/10.1016/j.csda.2009.09.023
• Support Vector Machines for Large Scale Text Mining in R / Feinerer, I., & Karatzoglou, A. (2010). Support Vector Machines for Large Scale Text Mining in R. In Y. Lechevallier & G. Saporta (Eds.), Proceedings of COMPSTAT’2010 19th International Conference on Computational StatisticsParis France, August 22-27, 2010 Keynote, Invited and Contributed Papers (pp. 991–998). Physica. http://hdl.handle.net/20.500.12708/53342
• A New SNA Centrality Measure Quantifying the Distance to the Nearest Center / Bohn, A., Theußl, S., Feinerer, I., Hornik, K., Mair, P., & Walchhofer, N. (2010). A New SNA Centrality Measure Quantifying the Distance to the Nearest Center. In H. Locarek-Junge & C. Weihs (Eds.), Studies in Classification, Data Analysis, and Knowledge Organization (pp. 579–586). Springer. https://doi.org/10.1007/978-3-642-10745-0_63
• Analysis and Algorithms for Stemming Inversion / Feinerer, I. (2010). Analysis and Algorithms for Stemming Inversion. In P.-J. Cheng, M.-Y. Kan, W. Lam, & P. Nakov (Eds.), Information Retrieval Technology (pp. 290–299). Springer. https://doi.org/10.1007/978-3-642-17187-1_28

2009

• A Comparison of Tools for Teaching Formal Software Verification / Feinerer, I., & Salzer, G. (2009). A Comparison of Tools for Teaching Formal Software Verification. Formal Aspects of Computing, 21(3), 293–301. https://doi.org/10.1007/s00165-008-0084-5
• Nonparametric Distribution Analysis for Text Mining / Karatzoglou, A., Feinerer, I., & Hornik, K. (2009). Nonparametric Distribution Analysis for Text Mining. In Advances in Data Analysis, Data Handling and Business Intelligence (pp. 295–305). Springer. https://doi.org/10.1007/978-3-642-01044-6_27

2008

• Text Mining Infrastructure in R / Feinerer, I., Hornik, K., & Meyer, D. (2008). Text Mining Infrastructure in R. Journal of Statistical Software, 25(5), 54. http://hdl.handle.net/20.500.12708/170772
• Fast text mining using kernels in R / Feinerer, I., & Karatzoglou, A. (2008). Fast text mining using kernels in R. In COMPSTAT 2008-Proceedings in Computational Statistics (p. 8). http://hdl.handle.net/20.500.12708/52445
• Solving Practical Configuration Problems using UML / Falkner, A., Feinerer, I., Salzer, G., & Schenner, G. (2008). Solving Practical Configuration Problems using UML. In Proceedings of ECAI 2008 Workshop on Configuration Systems (p. 6). http://hdl.handle.net/20.500.12708/52363
• Text Mining of Supreme Administrative Court Jurisdictions / Feinerer, I., & Hornik, K. (2008). Text Mining of Supreme Administrative Court Jurisdictions. In Data Analysis, Machine Learning and Applications (pp. 569–576). Springer. https://doi.org/10.1007/978-3-540-78246-9_67

2007

• A formal treatment of UML class diagrams as an efficient method for configuration management / Feinerer, I. (2007). A formal treatment of UML class diagrams as an efficient method for configuration management [Dissertation, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-14264
  Download: PDF (556 KB)
• Consistency and Minimality of UML Class Specifications with Multiplicities and Uniqueness Constraints / Salzer, G., & Feinerer, I. (2007). Consistency and Minimality of UML Class Specifications with Multiplicities and Uniqueness Constraints. In J. He & J. Sanders (Eds.), Proceedings 1st IEEE/IFIP International Symposium on Theoretical Aspects of Software Engineering (pp. 411–420). http://hdl.handle.net/20.500.12708/52120

2006

• Automated Tools for Teaching Formal Software Verification / Feinerer, I., & Salzer, G. (2006). Automated Tools for Teaching Formal Software Verification. In P. Boca (Ed.), Proceedings of Teaching Formal Methods 2006 (p. 5). BCS. http://hdl.handle.net/20.500.12708/51752

2005

• Formal program verification : a comparison of selected tools and their theoretical foundations / Feinerer, I. (2005). Formal program verification : a comparison of selected tools and their theoretical foundations [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-12860
  Download: PDF (417 KB)

• A universal layer for schema mapping languages / Chertes, F. I. (2015). A universal layer for schema mapping languages [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2015.31180
  Download: PDF (1.44 MB)
• A numeric semantics for UML class diagrams : semantics and tools / Niederbrucker, G. (2010). A numeric semantics for UML class diagrams : semantics and tools [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/160860
• Data representation, queries and updates in probabilistic and uncertain databases / Ostrcil, R. (2008). Data representation, queries and updates in probabilistic and uncertain databases [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/179739

• INiTS Award
  2007 / INiTS-Award / Austria

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Ingo Feinerer’s research profile in TISS .