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ORCID11. IDA 2012: Helsinki, Finland
- Jaakko Hollmén, Frank Klawonn, Allan Tucker:
Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings. Lecture Notes in Computer Science 7619, Springer 2012, ISBN 978-3-642-34155-7
Invited Papers
- Gavin C. Cawley:
Over-Fitting in Model Selection and Its Avoidance. 1 - Paola Sebastiani
:
Intelligent Data Analysis of Human Genetic Data. 2-6 - Arno Siebes:
Queries for Data Analysis. 7-22
Selected Contributions
- Zaenal Akbar, Violeta N. Ivanova, Michael R. Berthold:
Parallel Data Mining Revisited. Better, Not Faster. 23-34 - Renato Cordeiro de Amorim, Trevor I. Fenner:
Weighting Features for Partition around Medoids Using the Minkowski Metric. 35-44 - Renato Cordeiro de Amorim, Peter Komisarczuk:
On Initializations for the Minkowski Weighted K-Means. 45-55 - Maurice Berk, Giovanni Montana:
A Skew-t-Normal Multi-level Reduced-Rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data. 56-66 - Mehrez Boulares, Mohamed Jemni:
Methodological Foundation for Sign Language 3D Motion Trajectory Analysis. 67-77 - Christian Braune, Christian Borgelt, Sonja Grün:
Assembly Detection in Continuous Neural Spike Train Data. 78-89 - Josep Carmona, Ricard Gavaldà:
Online Techniques for Dealing with Concept Drift in Process Mining. 90-102 - Jun Chen, Mahdi Mahfouf, Chris Bingham, Yu Zhang, Zhijing Yang, Michael Gallimore:
An Evolutionary Based Clustering Algorithm Applied to Dada Compression for Industrial Systems. 103-113 - Wouter Duivesteijn, Eneldo Loza Mencía, Johannes Fürnkranz, Arno J. Knobbe:
Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns. 114-125 - Andrej Gisbrecht, Daniela Hofmann, Barbara Hammer:
Discriminative Dimensionality Reduction Mappings. 126-138 - Alípio Mário Jorge, João Mendes-Moreira, Jorge Freire de Sousa, Carlos Soares, Paulo J. Azevedo:
Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules. 139-149 - Frank Klawonn, Nada Abidi, Evelin Berger, Lothar Jänsch:
Curve Fitting for Short Time Series Data from High Throughput Experiments with Correction for Biological Variation. 150-160 - Kleanthis-Nikolaos Kontonasios, Tijl De Bie:
Formalizing Complex Prior Information to Quantify Subjective Interestingness of Frequent Pattern Sets. 161-171 - Christine Largeron, Christophe Moulin, Mathias Géry:
MCut: A Thresholding Strategy for Multi-label Classification. 172-183 - Matthijs van Leeuwen, Diyah Puspitaningrum:
Improving Tag Recommendation Using Few Associations. 184-194 - Eric Malmi, Juha Raitio, Oskar Kohonen, Krista Lagus, Timo Honkela:
Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models. 195-206 - Jean-Philippe Métivier, Patrice Boizumault, Bruno Crémilleux, Mehdi Khiari, Samir Loudni:
Constrained Clustering Using SAT. 207-218 - Antonio Morán Álvarez, Miguel A. Prada, Serafín Alonso, Pablo Barrientos, Juan J. Fuertes-Martínez, Manuel Domínguez-González, Ignacio Díaz Blanco:
Two-Stage Approach for Electricity Consumption Forecasting in Public Buildings. 219-229 - Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas:
Online Predictive Model for Taxi Services. 230-240 - Joonas Paalasmaa, David J. Murphy, Ove Holmqvist:
Analysis of Noisy Biosignals for Musical Performance. 241-252 - Marko Paavola, Mika Ruusunen, Aki Sorsa, Kauko Leiviskä:
Information Theoretic Approach to Improve Performance of Networked Control Systems. 253-263 - Sebastian Peter, Frank Höppner, Michael R. Berthold:
Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval. 264-275 - Phan Nhat Hai, Pascal Poncelet, Maguelonne Teisseire:
GeT_Move: An Efficient and Unifying Spatio-temporal Pattern Mining Algorithm for Moving Objects. 276-288 - David Picado-Muiño, Iván Castro León, Christian Borgelt:
Fuzzy Frequent Pattern Mining in Spike Trains. 289-300 - Dejan Radosavljevik, Peter van der Putten, Kim Kyllesbech Larsen:
Mass Scale Modeling and Simulation of the Air-Interface Load in 3G Radio Access Networks. 301-312 - Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes:
Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data. 313-323 - Teemu Ruokolainen:
Applying Piecewise Approximation in Perceptron Training of Conditional Random Fields. 324-333 - Moshe Salhov, Guy Wolf, Amir Averbuch, Pekka Neittaanmäki:
Patch-Based Data Analysis Using Linear-Projection Diffusion. 334-345 - Moshe Salhov, Guy Wolf, Amit Bermanis, Amir Averbuch, Pekka Neittaanmäki:
Dictionary Construction for Patch-to-Tensor Embedding. 346-356 - Zaigham Faraz Siddiqui, Márcia D. B. Oliveira, João Gama, Myra Spiliopoulou:
Where Are We Going? Predicting the Evolution of Individuals. 357-368 - Stefan Skrobanski, Stelios Pavlidis, Waidah Ismail, Rosline Hassan, Steve Counsell, Stephen Swift:
Use of General Purpose GPU Programming to Enhance the Classification of Leukaemia Blast Cells in Blood Smear Images. 369-380 - Shinsuke Sugaya, Daisuke Takayama, Asuki Kouno, Einoshin Suzuki:
Intelligent Data Analysis by a Home-Use Human Monitoring Robot. 381-391 - Aurora Tulilaulu, Joonas Paalasmaa, Mikko Waris, Hannu Toivonen:
Sleep Musicalization: Automatic Music Composition from Sleep Measurements. 392-403 - Joni Vesterback, Vladimir Bochko, Mika Ruohonen, Jarmo T. Alander, Andreas Bäck, Martin Nylund, Allan Dal, Fredrik Östman:
Engine Parameter Outlier Detection: Verification by Simulating PID Controllers Generated by Genetic Algorithm. 404-415 - Zhijing Yang, Chris Bingham, Bingo Wing-Kuen Ling, Yu Zhang, Michael Gallimore, Jill Stewart:
Unit Operational Pattern Analysis and Forecasting Using EMD and SSA for Industrial Systems. 416-423
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