Publications

Peter Kluegl, Martin Toepfer, Florian Lemmerich, Andreas Hotho, und Frank Puppe. Exploiting Structural Consistencies with Stacked Conditional Random Fields. Mathematical Methodologies in Pattern Recognition and Machine Learning Springer Proceedings in Mathematics & Statistics, (30):111-125, 2013. [PUMA: ie learning 2013 myown references]

Martin Atzmueller, Stephanie Beer, und Frank Puppe. Data Mining, Validation and Collaborative Knowledge Capture. In Stefan Brüggemann, und Claudia d’Amato (Hrsg.), Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources, 149-167, IGI Global, 2012. [PUMA: textmarker nlp 2012 data mining]

Peter Klügl, Martin Toepfer, Florian Lemmerich, Andreas Hotho, und Frank Puppe. Collective Information Extraction with Context-Specific Consistencies.. In Peter A. Flach, Tijl De Bie, und Nello Cristianini (Hrsg.), ECML/PKDD (1), (7523):728-743, Springer, 2012. [PUMA: information ie myown 2012 extraction context] URL

Peter Klügl, Martin Toepfer, Florian Lemmerich, Andreas Hotho, und Frank Puppe. Stacked Conditional Random Fields Exploiting Structural Consistencies. In Pedro Latorre Carmona, J. Salvador Sánchez, und Ana Fred (Hrsg.), Proceedings of 1st International Conference on Pattern Recognition Applications and Methods ICPRAM, 240-248, SciTePress, Vilamoura, Algarve, Portugal, 2012. [PUMA: crf stacked fields conditional myown 2012 random] URL

Martin Toepfer, Peter Kluegl, Andreas Hotho, und Frank Puppe. Segmentation of References with Skip-Chain Conditional Random Fields for Consistent Label Transitions. Workshop Notes of the LWA 2011 - Learning, Knowledge, Adaptation, 2011. [PUMA: chain 2011 conditional myown segmentation references] URL

Martin Atzmueller, Stephanie Beer, und Frank Puppe. Data Mining, Validation and Collaborative Knowledge Capture. In Stefan Brüggemann, und Claudia d’Amato (Hrsg.), Collaboration and the Semantic Web: Social Networks, Knowledge Networks and Knowledge Resources., IGI Global, 2011. [PUMA: textmarker itegpub nlp 2011 myown data mining]

Peter Kluegl, Andreas Hotho, und Frank Puppe. Local Adaptive Extraction of References. In Rüdiger Dillmann, Jürgen Beyerer, Uwe D. Hanebeck, und Tanja Schultz (Hrsg.), KI 2010: Advances in Artificial Intelligence, 33rd Annual German Conference on AI, 40-47, Springer, 2010. [PUMA: ie 2010 myown scholary references] URL

Martin Toepfer, Peter Kluegl, Andreas Hotho, und Frank Puppe.. Conditional Random Fields For Local Adaptive Reference Extraction. In Martin Atzmüller, Dominik Benz, Andreas Hotho, und Gerd Stumme (Hrsg.), Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet, Kassel, Germany, 2010. [PUMA: information crf 2010 myown extraction] URL

Joachim Baumeister, Martin Atzmueller, und Frank Puppe. Inductive Learning for Case-Based Diagnosis with Multiple Faults. Advances in Case-Based Reasoning, (2416):28-42, 2002. [PUMA: refinement diagnosis discovery experience semantic vikamine myown analytics visual data mining management knowledge]

Martin Atzmueller, Stephanie Beer, Alexander Hörnlein, Ralf Melcher, Hardi Lührs, und Frank Puppe. Design and Implementation of a Data Warehouse for Quality Management, System Evaluation and Knowledge Discovery in the Medical Domain. Proc. 1st European Workshop on Design, Evaluation and Refinement of Intelligent Systems, Erfurt, 2008. [PUMA: discovery experience semantic myown analytics data visual mining management warehouse knowledge]

Martin Atzmueller, und Frank Puppe. Case-Based Characterization and Analysis of Subgroup Patterns. Proc. LWA 2006 (KDML Special Track), Hildesheimer Informatik Berichte, University of Hildesheim, 2006. [PUMA: subgroup-discovery myown data mining]

Martin Atzmueller, und Frank Puppe. Causal Subgroup Analysis for Detecting Confounding. Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management (INAP 2007), Wuerzburg, Germany, 2007. [PUMA: subgroup-discovery myown data mining]

Martin Atzmueller, Stephanie Beer, und Frank Puppe. A Data Warehouse-Based Approach for Quality Management, Evaluation and Analysis of Intelligent Systems using Subgroup Mining. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted, 372-377, AAAI Press, 2009. [PUMA: discovery experience semantic myown analytics data visual mining management knowledge]

Joachim Baumeister, Martin Atzmueller, Peter Kluegl, und Frank Puppe. Conservative and Creative Strategies for the Refinement of Scoring Rules. In Geoff Sutcliffe, und Randy Goebel (Hrsg.), Proc. 19th Intl. Florida Artificial Intelligence Research Society Conference 2006 (FLAIRS-2006), 408--413, AAAI Press, 2006. [PUMA: refinement diagnosis subgroup-discovery myown]

Martin Atzmueller, Joachim Baumeister, und Frank Puppe. Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement. Proc. 13th Leipziger Informatik-Tage 2005 (LIT 2005), 101-106, 2005. [PUMA: discovery experience semantic vikamine myown analytics data visual mining management knowledge]

Martin Atzmueller, Joachim Baumeister, Achim Hemsing, Ernst-Jürgen Richter, und Frank Puppe. Subgroup Mining for Interactive Knowledge Refinement. Proc. 10th Conference on Artificial Intelligence in Medicine (AIME 05), 453--462, 2005. [PUMA: refinement discovery experience semantic vikamine myown analytics data visual mining management knowledge]

Martin Atzmueller, Frank Puppe, und Hans-Peter Buscher. A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery. International Journal on Artificial Intelligence Tools (IJAIT), (18)1:1 -- 18, 2009. [PUMA: discovery experience semantic myown analytics data visual mining management knowledge]

Frank Puppe, Martin Atzmueller, Georg Buscher, Matthias Huettig, Hardi Lührs, und Hans-Peter Buscher. Application and Evaluation of a Medical Knowledge-System in Sonography (SonoConsult). Proc. 18th European Conference on Artificial Intelligence (ECAI 20008), accepted, 2008. [PUMA: refinement diagnosis system myown data mining intelligent]

Martin Atzmueller, und Frank Puppe. SD-Map -- A Fast Algorithm for Exhaustive Subgroup Discovery. Proc. 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2006), 4213:6-17, 2006. [PUMA: imported myown]

Martin Atzmueller, Joachim Baumeister, Peter Klügl, und Frank Puppe. Rapid Knowledge Capture Using Subgroup Discovery with Incremental Refinement. Proc. 4th International Conference on Knowledge Capture (K-CAP 2007), 31--38, ACM Press, 2007. [PUMA: capture subgroup-discovery myown knowledge]