10. IDA 2011: Porto, Portugal

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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