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ORCID10. IDA 2011: Porto, Portugal
- João Gama
, Elizabeth Bradley, Jaakko Hollmén:
Advances in Intelligent Data Analysis X - 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings. Lecture Notes in Computer Science 7014, Springer 2011, ISBN 978-3-642-24799-6
Invited Papers
- Michael R. Berthold:
Bisociative Knowledge Discovery. 1-7 - Carla P. Gomes:
Computational Sustainability. 8 - Xiaohui Liu:
Intelligent Data Analysis: Keeping Pace with Technological Advances. 9
Selected Contributions
- Serafín Alonso, Manuel Domínguez-González, Miguel A. Prada, Mika Sulkava, Jaakko Hollmén:
Comparative Analysis of Power Consumption in University Buildings Using envSOM. 10-21 - João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz:
Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices. 22-33 - Yakir Berchenko, Or Daliot, Nir N. Brueller:
Intra-Firm Information Flow: A Content-Structure Perspective. 34-42 - Christian Borgelt, Tobias Kötter:
Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions. 43-54 - Christian Braune, Christian Borgelt, Sonja Grün:
Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing. 55-66 - Ekaterina Buyko, Jörg Linde, Steffen Priebe, Udo Hahn:
Towards Automatic Pathway Generation from Biological Full-Text Publications. 67-79 - Gilles Caporossi, Christophe Leblay:
Online Writing Data Representation: A Graph Theory Approach. 80-89 - José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Albert Bifet, João Gama, Rafael Morales Bueno:
Online Evaluation of Email Streaming Classifiers Using GNUsmail. 90-100 - Stefano Ceccon, David Garway-Heath, David P. Crabb, Allan Tucker:
The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process. 101-112 - Boris Cule, Bart Goethals, Sven Tassenoy, Sabine Verboven:
Mining Train Delays. 113-124 - Tamraparni Dasu, Shankar Krishnan, Gina Maria Pomann:
Robustness of Change Detection Algorithms. 125-137 - Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals:
GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service. 138-149 - Jelena Fiosina, Maksims Fiosins:
Resampling-Based Change Point Estimation. 150-161 - João Gama, Petr Kosina:
Learning about the Learning Process. 162-172 - Joshua Garland, Elizabeth Bradley:
Predicting Computer Performance Dynamics. 173-184 - Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu:
Prototype-Based Classification of Dissimilarity Data. 185-197 - Fadratul Hafinaz Hassan, Allan Tucker:
Automatic Layout Design Solution. 198-209 - Frank Klawonn, Frank Höppner, Sigrun May:
An Alternative to ROC and AUC Analysis of Classifiers. 210-221 - Georg Krempl:
The Algorithm APT to Classify in Concurrence of Latency and Drift. 222-233 - Martin Krone, Frank Klawonn, Thorsten Lührs, Christiane Ritter:
Identification of Nuclear Magnetic Resonance Signals via Gaussian Mixture Decomposition. 234-245 - Gerardo Lastra, Oscar Luaces, José Ramón Quevedo, Antonio Bahamonde:
Graphical Feature Selection for Multilabel Classification Tasks. 246-257 - Christian Loyek, Jan Kölling, Daniel Langenkämper, Karsten Niehaus, Tim W. Nattkemper:
A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages. 258-269 - Mario Mezzanzanica, Roberto Boselli, Mirko Cesarini, Fabio Mercorio:
Data Quality through Model Checking Techniques. 270-281 - Martín Molina, Amanda Stent, Enrique Parodi:
Generating Automated News to Explain the Meaning of Sensor Data. 282-293 - Llanos Mora López, Ildefonso Martínez-Marchena, Michel Piliougine, Mariano Sidrach de Cardona:
Binding Statistical and Machine Learning Models for Short-Term Forecasting of Global Solar Radiation. 294-305 - Uwe Nagel, Kilian Thiel, Tobias Kötter, Dawid Piatek, Michael R. Berthold:
Bisociative Discovery of Interesting Relations between Domains. 306-317 - Hossein Rahmani, Hendrik Blockeel, Andreas Bender:
Collaboration-Based Function Prediction in Protein-Protein Interaction Networks. 318-327 - Govind Sharma, M. Narasimha Murty:
Mining Sentiments from Songs Using Latent Dirichlet Allocation. 328-339 - Jaakko Talonen, Mika Sulkava:
Analyzing Parliamentary Elections Based on Voting Advice Application Data. 340-351 - Allan Tucker, Daniel Duplisea:
Integrating Marine Species Biomass Data by Modelling Functional Knowledge. 352-363 - V. Suresh, Avanthi Krishnamurthy, Rama Badrinath, C. E. Veni Madhavan:
A Stylometric Study and Assessment of Machine Translators. 364-375 - Ugo Vespier, Arno J. Knobbe, Joaquin Vanschoren, Shengfa Miao, Arne Koopman, Bas Obladen, Carlos Bosma:
Traffic Events Modeling for Structural Health Monitoring. 376-387 - Bernd Wiswedel, Michael R. Berthold:
Supervised Learning in Parallel Universes Using Neighborgrams. 388-400 - Amanullah Yasin, Philippe Leray:
iMMPC: A Local Search Approach for Incremental Bayesian Network Structure Learning. 401-412 - He Zhang, Eimontas Augilius, Timo Honkela, Jorma Laaksonen, Hannes Gamper, Henok Alene:
Analyzing Emotional Semantics of Abstract Art Using Low-Level Image Features. 413-423
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