Wissenschaftliche Artikel

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 ( reposiTUm)
Feinerer, I., & Salzer, G. (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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)

Beiträge in Tagungsbänden

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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)
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 ( reposiTUm)

Hochschulschriften

Feinerer, I. (2013). Model-based configuration [Professorial Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/159116 ( reposiTUm)