Department of Computer and Information Science

Research Group Data-mining of heterogeneous Data

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2015

Benites, Fernando ; Sapozhnikova, Elena (2015): Improving Multi-label Classification by Means of Cross-Ontology Association Rules Proceedings of the 17th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, October 7-9, 2015, (CEUR Workshop Proceedings), accepted
Benites, Fernando ; Sapozhnikova, Elena (2015): HARAM: a Hierarchical ARAM neural network for large-scale text classification Proceedings of 2015 IEEE International Conference on Data Mining Workshops, The 3rd International Workshop on High Dimensional Data Mining (HDM’15), 2015, accepted
Benites, Fernando ; Sapozhnikova, Elena (2015): Hierarchical interestingness measures for association rules with generalization on both antecedent and consequent sides Pattern Recognition Letters 65 (2015),pp. 197-203, doi:10.1016/j.patrec.2015.07.027

2014

Download Benites, Fernando ; Simon, Svenja ; Sapozhnikova, Elena (2014): Mining Rare Associations between Biological Ontologies PLoS ONE ; 9 (2014), 1. - e84475
  Benites, Fernando ; Sapozhnikova, Elena (2014): Evaluation of Hierarchical Interestingness Measures for Mining Pairwise Generalized Association Rules IEEE Transactions on Knowledge and Data Engineering ; 26 (2014), 12. - S. 3012-3025. - ISSN 1041-4347. - eISSN 1558-2191
  Benites, Fernando ; Sapozhnikova, Elena (2014): Using Semantic Data Mining for Classification Improvement and Knowledge Extraction Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014 / Thomas Seidl ; Marwan Hassani and Christian Beecks (Hrsg.). - CEUR-WS.org, 2014. - (CEUR Workshop Proceedings ; 1226). - S. 150-155

2013

  Benites, Fernando ; Sapozhnikova, Elena (2013): Generalized Association Rules for Connecting Biological Ontologies BIOINFORMATICS 2013 : proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms ; Barcelona, Spain, 11 - 14 February 2013 / ed. by Pedro Fernandes ... - [S.l.] : SciTePress, 2013. - S. 230-237. - ISBN 978-989-8565-35-8

2012

  Benites, Fernando ; Sapozhnikova, Elena (2012): Learning different concept hierarchies and the relations between them from classified data Intelligent data analysis for real-life applications : theory and practice / Rafael Magdalena-Benedito ... - Hershey, PA : Information Science Reference, 2012. - S. 18-34. - ISBN 978-1-4666-1806-0

2011

  Brucker, Florian ; Benites, Fernando ; Sapozhnikova, Elena (2011): An Empirical Comparison of Flat and Hierarchical Performance Measures for Multi-Label Classification with Hierarchy Extraction Knowledge-Based and Intelligent Information and Engineering Systems : 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part I / ed. by Andreas König ... - Berlin [u.a.] : Springer, 2011. - S. 579-589. - (Lecture Notes in Computer Science ; 6881). - ISBN 978-3-642-23850-5
  Brucker, Florian ; Benites, Fernando ; Sapozhnikova, Elena (2011): Multi-label classification and extracting predicted class hierarchies Publ. in: Pattern Recognition 44 (2011), 3, pp. 724-738

2010

  Benites, Fernando ; Brucker, Florian ; Sapozhnikova, Elena (2010): Multi-Label Classification by ART-based Neural Networks and Hierarchy Extraction Publ. in: Proceedings of the International Joint Conference on Neural Network, July 18-23, Barcelona, 2010, pp. 2788 2796

2009

  Sapozhnikova, Elena (2009): ART-based Neural Networks for Multi-Label Classification First publ. in: Advances in Intelligent Data Analysis VIII : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 / Niall M. Adams ... (eds.). (= LNCS ; 5772). Berlin : Springer, 2009, pp. 167-177
Download

Sapozhnikova, Elena (2009): Multi-label Classification with ART Neural Networks First publ. in: Proceedings / Second International Workshop on Knowledge Discovery and Data Mining (WKDD 2009), 2009, pp. 144-147

2006

  E. Sapozhnikova, M. Bogdan, B. Speiser, W. Rosenstiel (2006): EChem++ - An Object-Oriented Problem Solving Environment for Electrochemistry. 3. Classification of voltammetric signals by the Fuzzy ARTMAP neural network with respect to reaction mechanisms Journal of Electroanalytical Chemistry ; 588 (EChem++ - An Object-Oriented Problem Solving Environment for Electrochemistry. 3. Classification of voltammetric signals by the Fuzzy ARTMAP neural network with respect to reaction mechanisms)

2004

  E. Sapojnikova (2004): ART-based Fuzzy Classifiers: ART Fuzzy Networks for Automatic Classification , Cuvillier Verlag Göttingen

2003

  E. Sapozhnikova, W. Rosenstiel (2003): AFC: ART-based Fuzzy Classifier In Proceedings of KES ; , Oxford, United Kingdom - S. 30-36
  E. Sapozhnikova, W. Rosenstiel (2003): AFC: ART-Based Fuzzy Classifier Knowledge-Based Intelligent Information and Engineering Systems Proceedings of 7th International Conference, KES, Part II ;
  E. Sapojnikova (2003): ART-based Fuzzy Classifiers: ART Fuzzy Networks for automatic classification
  K. Ludwig, L. Rajendran, B. Speiser, J. Strutwolf, C. Autenrieth, M. Bogdan, T. Ewald, E. Sapozhnikova (2003): EChem++ - An Object Oriented Approach to Computational Electrochemistry 203rd ECS Meeting ; , Paris

2002

  E. Sapozhnikova (2002): A new approach to category building in Fuzzy ART-based neural networks In Proceedings of the 4th Conference "Neuroinformatics" ; , Moscow, Russia - S. 41-47

2001

  E. Sapozhnikova, V. Lunin, W. Rosenstiel (2001): A modified search procedure for the Fuzzy ARTMAP neural network In Proceedings of the 3rd Conference "Neuroinformatics" ; 1 (A modified search procedure for the Fuzzy ARTMAP neural network) , Moscow, Russia - S. 86-92
  E. Sapozhnikova, V. Lunin, W. Rosenstiel (2001): A modification of FAM In Proceedings of the 7th Conference "Neurocomputers and their application" ; , Moscow, Russia - S. 587-590
  E. Sapozhnikova, L. Ludwig, W. Rosenstiel (2001): A Modification of the Fuzzy ARTMAP Algorithm Proceedings of the 5th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI) ;
  E. Sapozhnikova, V. Lunin, W. Rosenstiel (2001): Modified search in Fuzzy ARTMAP Proceedings of the Conference "Neuroinformatics" ;

2000

  E. Sapozhnikova, T. Hermle, L. Ludwig, V. Lunin, W. Rosenstiel (2000): ART Neural Networks in the Analysis of Monitoring Data Eighteenth IASTED International Conference on Applied Informatics (AI) ; , Innsbruck, Austria
  E. Sapozhnikova, V. Lunin, L. Ludwig, W. Rosenstiel (2000): Neural prediction of chip quality on the basis of monitoring data In Proceedings of the 6th Conference "Neurocomputers and their application" ; , Moscow, Russia
  E. Sapoznikova, L. Ludwig, W. Rosenstiel (2000): Die Anwendung des dARTMAP-Netzes zur Analyse von elektrischen Parametern in der Chip-Fertigung VDI-Bericht ; 1526 (Die Anwendung des dARTMAP-Netzes zur Analyse von elektrischen Parametern in der Chip-Fertigung)
  L. Ludwig, E. Sapozhnikova, V. Lunin, W.Rosenstiel (2000): Error Classification and Yield Prediction of Chips in Semiconductor Industry Applications Neural Computing & Applications ; 9 (Error Classification and Yield Prediction of Chips in Semiconductor Industry Applications) , London , Springer - S. 202-210
  E. Sapozhnikova, V. Lunin, L. Ludwig, W. Rosenstiel (2000): Neuronale Algorithmen in Qualitaetssicherung von Chips Zeitschrift Neurocomputer: Entwicklung und Anwendung ; 3 (Neuronale Algorithmen in Qualitaetssicherung von Chips)

1999

  E. Sapozhnikova, V. Lunin, L. Ludwig, W. Rosenstiel (1999): Anwendung Neuronaler Netze (ART) zur Qualitätsprüfung von Wafern In Proceedings der Tagung: Neuro-Computer und seine Anwendung ; , Moskau, Russland - S. 153-156
  E. Sapozhnikova, V. Lunin, L. Ludwig, W. Rosenstiel (1999): The Use of dARTMAP and FUZZY ARTMAP to solve the Quality testing Task in Semiconductor Industry In Proceedings of KES ; , Adelaide, Australia - S. 361-364
  E. Sapozhnikova, V. Lunin, L. Ludwig, W. Rosenstiel (1999): Using the Neural Networks dARTMAP and Fuzzy ARTMAP for Quality Testing Task in Semiconductor Industry Proceedings of ANNIE 99 ;
  E. Sapozhnikova, V. Lunin, L. Ludwig, W. Rosenstiel (1999): Using the Neural Networks on the Basis of Adaptive Resonance Theory to Quality Testing in Semiconductor Industry In Proceedings of EANN ; , Warsaw, Poland - S. 236-240

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