CIDM 2011:
Paris,
France
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2011, part of the IEEE Symposium Series on Computational Intelligence 2011, April 11-15, 2011, Paris, France.
IEEE 2011, ISBN 978-1-4244-9925-0 
Information Retrieval
- Yang Wang, Min Lu, Xiaodong Pang, Maoqiang Xie, Yalou Huang:
Multiple query-dependent RankSVM aggregation for document retrieval.
1-6
- Pierre Blanchart, Marin Ferecatu, Mihai Datcu:
Active learning using the data distribution for interactive image classification and retrieval.
7-14
- Selma Tekir, Florian Mansmann, Daniel A. Keim:
Geodesic distances for web document clustering.
15-21
- Sahar Changuel, Nicolas Labroche:
Distinguishing defined concepts from prerequisite concepts in learning resources.
22-29
- José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Rafael Morales Bueno:
Feature extraction for multi-label learning in the domain of email classification.
30-36
Analysis of Data for Health
- Vicent J. Ribas, Jesus Caballero Lopez, Juan Carlos Ruiz-Rodriguez, Adolf Ruiz-Sanmartin, Jordi Rello, Alfredo Vellido:
On the use of decision trees for ICU outcome prediction in sepsis patients treated with statins.
37-43
- Pablo Escandell-Montero, José María Martínez-Martínez, José David Martín-Guerrero, Emilio Soria-Olivas, Joan Vila-Francés, José Rafael Magdalena Benedito:
Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach.
44-49
- Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, C. M. Beynon, José David Martín-Guerrero:
Clustering categorical data: A stability analysis framework.
58-65
- Ekaterina Nosova, Giancarlo Raiconi, Roberto Tagliaferri:
A multi-Biclustering Combinatorial Based algorithm.
66-71
Recommender Systems
Classification and Clustering
Poster Session
- Bouaguel Waad, Beninel Farid, Ghazi Bel Mufti:
Logistic sub-models for small size populations in credit scoring.
128-134
- Pekka Siirtola, Heli Koskimäki, Juha Röning:
Periodic quick test for classifying long-term activities.
135-140
- Preetinder Kaur, Madhu Lata Goyal, Jie Lu:
Data mining driven agents for predicting online auction's end price.
141-147
- Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens:
A robust F-measure for evaluating discovered process models.
148-155
- Pekka Siirtola, Perttu Laurinen, Juha Röning, Hannu Kinnunen:
Efficient accelerometer-based swimming exercise tracking.
156-161
- Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Active learning for aspect model in recommender systems.
162-167
- Anna Ciampi, Annalisa Appice, Donato Malerba, Pietro Guccione:
Trend cluster based compression of geographically distributed data streams.
168-175
Special Session on "Process Mining"
Mining Spatial and Temporal Data
- Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme:
IQ estimation for accurate time-series classification.
216-223
- Federico Cismondi, André S. Fialho, Susana M. Vieira, Joao M. C. Sousa, Shane R. Reti, Michael D. Howell, Stan N. Finkelstein:
Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data.
224-231
- Asanka Fonseka, Damminda Alahakoon, Susan Bedingfield:
GSOM sequence: An unsupervised dynamic approach for knowledge discovery in temporal data.
232-238
- Alex Pelan, Karsten Steinhaeuser, Nitesh V. Chawla, Dilkushi A. de Alwis Pitts, Auroop R. Ganguly:
Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system.
239-245
Evolutionary and Fuzzy Computation
Poster Session
- Zahraa Said Abdallah, Mohamed Medhat Gaber:
KB-CB-N classification: Towards unsupervised approach for supervised learning.
283-290
- Giovanni Giuffrida, Diego Reforgiato Recupero, Giuseppe Tribulato, Calogero G. Zarba:
A banner recommendation system based on web navigation history.
291-296
- Jean-Marc Andreoli, Marie-Luise Schneider:
Online autoregressive prediction in time series with delayed disclosure.
297-303
- José María Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, José David Martín-Guerrero, Marcelino Martínez-Sober, Juan Gómez-Sanchís:
Sectors on sectors (SonS): A new hierarchical clustering visualization tool.
304-309
- A. J. M. M. Weijters, J. T. S. Ribeiro:
Flexible Heuristics Miner (FHM).
310-317
- Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Andrew Remsen:
Increased classification accuracy and speedup through pair-wise feature selection for support vector machines.
318-324
- Tim Schlüter, Stefan Conrad:
About the analysis of time series with temporal association rule mining.
325-332
- Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Link Pattern Prediction with tensor decomposition in multi-relational networks.
333-340
Perspectives of Dimensionality Reduction and Visual Analytics
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