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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
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
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
- Atsuhiro Takasu, Saranya Maneeroj:
A recommendation algorithm using positive and negative latent models. 72-79 - Justin Zhan, Lijo Thomas, Venkata Pasumarthi:
Using gaming strategies for attacker and defender in recommender systems. 80-87
Classification and Clustering
- Tobias Reitmaier, Bernhard Sick
Active classifier training with the 3DS strategy. 88-95 - Thomas A. Runkler
Partially supervised k-harmonic means clustering. 96-103 - Tomasz Maciejewski, Jerzy Stefanowski
Local neighbourhood extension of SMOTE for mining imbalanced data. 104-111 - Brahim Douar, Michel Liquiere, Cherif Chiraz Latiri, Yahya Slimani:
FGMAC: Frequent subgraph mining with Arc Consistency. 112-119 - Thomas Ferrari, Giuseppina C. Gini, Nazanin Golbamaki Bakhtyari, Emilio Benfenati:
Mining toxicity structural alerts from SMILES: A new way to derive Structure Activity Relationships. 120-127
Poster Session
- Bouaguel Waad, Farid Beninel, Ghazi Bel Mufti:
Logistic sub-models for small size populations in credit scoring. 128-134 - Pekka Siirtola
Periodic quick test for classifying long-term activities. 135-140 - Preetinder Kaur, Madhu Lata Goyal
Data mining driven agents for predicting online auction's end price. 141-147 - Jochen De Weerdt
A robust F-measure for evaluating discovered process models. 148-155 - Pekka Siirtola
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
Trend cluster based compression of geographically distributed data streams. 168-175
Special Session on "Process Mining"
- Andrea Burattin
A framework for semi-automated process instance discovery from decorative attributes. 176-183 - Jorge Munoz-Gama
Enhancing precision in Process Conformance: Stability, confidence and severity. 184-191 - Fabrizio Maria Maggi, Arjan J. Mooij, Wil M. P. van der Aalst
User-guided discovery of declarative process models. 192-199 - Corrado Loglisci
Discovering process models through relational disjunctive patterns mining. 200-207
Mining Spatial and Temporal Data
- Krisztián Búza
IQ estimation for accurate time-series classification. 216-223 - Federico Cismondi, André S. Fialho, Susana M. Vieira
Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data. 224-231 - Asanka Fonseka, Damminda Alahakoon, Susan E. Bedingfield
GSOM sequence: An unsupervised dynamic approach for knowledge discovery in temporal data. 232-238 - Alex Pelan, Karsten Steinhaeuser, Nitesh V. Chawla
Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system. 239-245
Evolutionary and Fuzzy Computation
- Carlos Menendez-Gonzalez, Gracián Triviño:
OLAP navigation in the Granular Linguistic Model of a Phenomenon. 260-267 - Ugo Erra
A GPU-based interactive bio-inspired visual clustering. 268-275 - Habiba Drias
Generating materialized views using ant based approaches and information retrieval technologies. 276-282
Poster Session
- Zahraa Said Abdallah
KB-CB-N classification: Towards unsupervised approach for supervised learning. 283-290 - Giovanni Giuffrida
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
Sectors on sectors (SonS): A new hierarchical clustering visualization tool. 304-309 - A. J. M. M. Weijters, Joel Tiago 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
- Paulo Cortez
Opening black box Data Mining models using Sensitivity Analysis. 341-348 - Kerstin Bunte
Dimensionality reduction mappings. 349-356 - Peter Sarlin:
Visual tracking of the Millennium Development Goals with a Self-organizing neural network. 357-364 - Marc Strickert, Björn Labitzke, Volker Blanz:
Partial generalized correlation for hyperspectral data. 365-372
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