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Stefan Wrobel :
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Stefan Wrobel , Dietrich Wettschereck , Edgar Sommer , Werner Emde Extensibility in Data Mining Systems. [Citation Graph (1, 0)][DBLP ] KDD, 1996, pp:214-219 [Conf ] Stefan Wrobel Concept Formation During Interactive Theory Revision. [Citation Graph (1, 0)][DBLP ] Machine Learning, 1994, v:14, n:1, pp:169-191 [Journal ] Stefan Wrobel Scalability Issues in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP ] ALT, 1998, pp:11-30 [Conf ] Thomas Gärtner , Peter A. Flach , Stefan Wrobel On Graph Kernels: Hardness Results and Efficient Alternatives. [Citation Graph (0, 0)][DBLP ] COLT, 2003, pp:129-143 [Conf ] Tamás Horváth , Stefan Wrobel Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity. [Citation Graph (0, 0)][DBLP ] Discovery Science, 2001, pp:100-112 [Conf ] Mark-A. Krogel , Stefan Wrobel Feature Selection for Propositionalization. [Citation Graph (0, 0)][DBLP ] Discovery Science, 2002, pp:430-434 [Conf ] Lourdes Peña Castillo , Stefan Wrobel Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique. [Citation Graph (0, 0)][DBLP ] ECML, 2002, pp:357-368 [Conf ] Francesco Bergadano , Floriana Esposito , Céline Rouveirol , Stefan Wrobel Panel: Evaluating and Changing Representation in Concept Acquisition. [Citation Graph (0, 0)][DBLP ] EWSL, 1991, pp:89-100 [Conf ] Susanne Hoche , Stefan Wrobel Scaling Boosting by Margin-Based Inclusionof Features and Relations. [Citation Graph (0, 0)][DBLP ] ECML, 2002, pp:148-160 [Conf ] Christine Körner , Stefan Wrobel Multi-class Ensemble-Based Active Learning. [Citation Graph (0, 0)][DBLP ] ECML, 2006, pp:687-694 [Conf ] Stefan Wrobel Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. [Citation Graph (0, 0)][DBLP ] ECML, 2001, pp:615- [Conf ] Stefan Wrobel Automatic Representation Adjustment in an Observational Discovery System. [Citation Graph (0, 0)][DBLP ] EWSL, 1988, pp:253-262 [Conf ] Stefan Wrobel On the Proper Definition of Minimality in Specialization and Theory Revision. [Citation Graph (0, 0)][DBLP ] ECML, 1993, pp:65-82 [Conf ] Uta Bohnebeck , Werner Sälter , Tamás Horváth , Stefan Wrobel , Dietmar Blohm Measuring similarity of RNA structures by relational instance-based learning: A first step toward detecting RNA signal structures in silico. [Citation Graph (0, 0)][DBLP ] German Conference on Bioinformatics, 1998, pp:- [Conf ] Tobias Scheffer , Christian Decomain , Stefan Wrobel Mining the Web with Active Hidden Markov Models. [Citation Graph (0, 0)][DBLP ] ICDM, 2001, pp:645-646 [Conf ] Ulf Brefeld , Thomas Gärtner , Tobias Scheffer , Stefan Wrobel Efficient co-regularised least squares regression. [Citation Graph (0, 0)][DBLP ] ICML, 2006, pp:137-144 [Conf ] Lourdes Peña Castillo , Stefan Wrobel A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning. [Citation Graph (0, 0)][DBLP ] ICML, 2004, pp:- [Conf ] Tobias Scheffer , Stefan Wrobel Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. [Citation Graph (0, 0)][DBLP ] ICML, 2001, pp:481-488 [Conf ] Tobias Scheffer , Christian Decomain , Stefan Wrobel Active Hidden Markov Models for Information Extraction. [Citation Graph (0, 0)][DBLP ] IDA, 2001, pp:309-318 [Conf ] Lourdes Peña Castillo , Stefan Wrobel Learning Minesweeper with Multirelational Learning. [Citation Graph (0, 0)][DBLP ] IJCAI, 2003, pp:533-540 [Conf ] Stefan Wrobel Towards a Model of Grounded Concept Formation. [Citation Graph (0, 0)][DBLP ] IJCAI, 1991, pp:712-719 [Conf ] Mark-A. Krogel , Simon Rawles , Filip Zelezný , Peter A. Flach , Nada Lavrac , Stefan Wrobel Comparative Evaluation of Approaches to Propositionalization. [Citation Graph (0, 0)][DBLP ] ILP, 2003, pp:197-214 [Conf ] Mark-A. Krogel , Stefan Wrobel Transformation-Based Learning Using Multirelational Aggregation. [Citation Graph (0, 0)][DBLP ] ILP, 2001, pp:142-155 [Conf ] Uta Bohnebeck , Tamás Horváth , Stefan Wrobel Term Comparisons in First-Order Similarity Measures. [Citation Graph (0, 0)][DBLP ] ILP, 1998, pp:65-79 [Conf ] Susanne Hoche , Stefan Wrobel Relational Learning Using Constrained Confidence-Rated Boosting. [Citation Graph (0, 0)][DBLP ] ILP, 2001, pp:51-64 [Conf ] Susanne Hoche , Stefan Wrobel A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting. [Citation Graph (0, 0)][DBLP ] ILP, 2003, pp:180-196 [Conf ] Tamás Horváth , Zoltán Alexin , Tibor Gyimóthy , Stefan Wrobel Application of Different Learning Methods to Hungarian Part-of-Speech Tagging. [Citation Graph (0, 0)][DBLP ] ILP, 1999, pp:128-139 [Conf ] Mathias Kirsten , Stefan Wrobel Extending K-Means Clustering to First-Order Representations. [Citation Graph (0, 0)][DBLP ] ILP, 2000, pp:112-129 [Conf ] Mathias Kirsten , Stefan Wrobel Relational Distance-Based Clustering. [Citation Graph (0, 0)][DBLP ] ILP, 1998, pp:261-270 [Conf ] Tamás Horváth , Thomas Gärtner , Stefan Wrobel Cyclic pattern kernels for predictive graph mining. [Citation Graph (0, 0)][DBLP ] KDD, 2004, pp:158-167 [Conf ] Tamás Horváth , Jan Ramon , Stefan Wrobel Frequent subgraph mining in outerplanar graphs. [Citation Graph (0, 0)][DBLP ] KDD, 2006, pp:197-206 [Conf ] Tobias Scheffer , Stefan Wrobel A sequential sampling algorithm for a general class of utility criteria. [Citation Graph (0, 0)][DBLP ] KDD, 2000, pp:330-334 [Conf ] Stefan Wrobel Higher-order Concepts in a Tractable Knowledge Representation. [Citation Graph (0, 0)][DBLP ] GWAI, 1987, pp:129-138 [Conf ] Stefan Wrobel Demand-Driven Concept Formation. [Citation Graph (0, 0)][DBLP ] Knowledge Representation and Organization in Machine Learning, 1987, pp:289-319 [Conf ] Tamás Horváth , Jan Ramon , Stefan Wrobel Frequent Subgraph Mining in Outerplanar Graphs. [Citation Graph (0, 0)][DBLP ] LWA, 2006, pp:290-296 [Conf ] Christine Körner , Stefan Wrobel Bias-free Hypothesis Evaluation in Multirelational Domains. [Citation Graph (0, 0)][DBLP ] LWA, 2005, pp:172-177 [Conf ] Lourdes Peña Castillo , Stefan Wrobel On the Stability of Example-Driven Learning Systems: A Case Study in Multirelational Learning. [Citation Graph (0, 0)][DBLP ] MICAI, 2002, pp:321-330 [Conf ] Christine Körner , Stefan Wrobel Bias-Free Hypothesis Evaluation in Multirelational Domains. [Citation Graph (0, 0)][DBLP ] PAKDD, 2006, pp:668-672 [Conf ] Tobias Scheffer , Stefan Wrobel A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases. [Citation Graph (0, 0)][DBLP ] PKDD, 2002, pp:397-409 [Conf ] Stefan Wrobel Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. [Citation Graph (0, 0)][DBLP ] PKDD, 2001, pp:507- [Conf ] Stefan Wrobel An Algorithm for Multi-relational Discovery of Subgroups. [Citation Graph (0, 0)][DBLP ] PKDD, 1997, pp:78-87 [Conf ] Tamás Horváth , Susanne Hoche , Stefan Wrobel Effective rule induction from labeled graphs. [Citation Graph (0, 0)][DBLP ] SAC, 2006, pp:611-616 [Conf ] Christine Körner , Stefan Wrobel Bias-free hypothesis evaluation in multirelational domains. [Citation Graph (0, 0)][DBLP ] SAC, 2006, pp:639-640 [Conf ] Werner Emde , Jörg Rahmer , Angi Voß , Christian Beilken , Josef Börding , Wolfgang Orth , Ulrike Petersen , Jörg Walter Schaaf , Michael Spenke , Stefan Wrobel Interactive Configuration in KIKon. [Citation Graph (0, 0)][DBLP ] XPS, 1997, pp:79-91 [Conf ] Stefan Wrobel Design Goals for Sloppy Modeling Systems. [Citation Graph (0, 0)][DBLP ] International Journal of Man-Machine Studies, 1988, v:29, n:4, pp:461-477 [Journal ] Tobias Scheffer , Stefan Wrobel Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2002, v:3, n:, pp:833-862 [Journal ] Mathias Kirsten , Stefan Wrobel , F. Wilhelm Dahmen , Hans-Christoph Dahmen Einsatz von Data Mining-Techniken zur Analyse ökologischer Standort- und Pflanzendaten. [Citation Graph (0, 0)][DBLP ] KI, 1998, v:12, n:2, pp:39-42 [Journal ] Nada Lavrac , Stefan Wrobel Induktive Logikprogrammierung - Grundlagen und Techniken. [Citation Graph (0, 0)][DBLP ] KI, 1996, v:10, n:3, pp:46-54 [Journal ] Tobias Scheffer , Stefan Wrobel , Borislav Popov , Damyan Ognianov , Christian Decomain , Susanne Hoche Lerning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text. [Citation Graph (0, 0)][DBLP ] KI, 2002, v:16, n:2, pp:17-22 [Journal ] Stefan Wrobel Die Umweltverankerung von Begriffsbildungsprozessen. [Citation Graph (0, 0)][DBLP ] KI, 1991, v:5, n:1, pp:22-26 [Journal ] Stefan Wrobel Data Mining - Das aktuelle Schlagwort. [Citation Graph (0, 0)][DBLP ] KI, 1997, v:11, n:1, pp:22- [Journal ] Stefan Wrobel Data Mining und Wissensentdeckung in Datenbanken. [Citation Graph (0, 0)][DBLP ] KI, 1998, v:12, n:1, pp:6-10 [Journal ] Stefan Wrobel Data Mining Serviceteil. [Citation Graph (0, 0)][DBLP ] KI, 1998, v:12, n:1, pp:58-59 [Journal ] Tamás Horváth , Stefan Wrobel , Uta Bohnebeck Relational Instance-Based Learning with Lists and Terms. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2001, v:43, n:1/2, pp:53-80 [Journal ] Saso Dzeroski , Luc De Raedt , Stefan Wrobel Multirelational data mining 2003: workshop report. [Citation Graph (0, 0)][DBLP ] SIGKDD Explorations, 2003, v:5, n:2, pp:200-202 [Journal ] Mario Boley , Tamás Horváth , Axel Poigné , Stefan Wrobel Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract). [Citation Graph (0, 0)][DBLP ] PKDD, 2007, pp:382-389 [Conf ] Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters. [Citation Graph (, )][DBLP ] A Logic-Based Approach to Relation Extraction from Texts. [Citation Graph (, )][DBLP ] Context-Based Clustering of Image Search Results. [Citation Graph (, )][DBLP ] On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms. [Citation Graph (, )][DBLP ] Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes. [Citation Graph (, )][DBLP ] Tight Optimistic Estimates for Fast Subgroup Discovery. [Citation Graph (, )][DBLP ] Efficient Discovery of Interesting Patterns Based on Strong Closedness. [Citation Graph (, )][DBLP ] Semidefinite Ranking on Graphs. [Citation Graph (, )][DBLP ] Efficient Closed Pattern Mining in Strongly Accessible Set Systems. [Citation Graph (, )][DBLP ] Kernels for Predictive Graph Mining. [Citation Graph (, )][DBLP ] Search in 0.004secs, Finished in 0.458secs