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CIDM 2013: Singapore
- IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013, Singapore, 16-19 April, 2013. IEEE 2013, ISBN 978-1-4673-5895-8
- Artur Andrzejak, Felix Langner, Silvestre Zabala:
Interpretable models from distributed data via merging of decision trees. 1-9 - Marc Strickert, Barbara Hammer
, Thomas Villmann, Michael Biehl
Regularization and improved interpretation of linear data mappings and adaptive distance measures. 10-17 - Andreas Backhaus, Udo Seiffert:
Quantitative Measurements of model interpretability for the analysis of spectral data. 18-25 - Vanya Van Belle, Paulo Lisboa:
Automated selection of interaction effects in sparse kernel methods to predict pregnancy viability. 26-31 - Will Landecker, Michael D. Thomure, Luís M. A. Bettencourt, Melanie Mitchell, Garrett T. Kenyon
Interpreting individual classifications of hierarchical networks. 32-38 - Rocco Langone
Kernel spectral clustering for predicting maintenance of industrial machines. 39-45 - Yinghao Huang, Yi Lu Murphey, Yao Ge:
Machine learning of engineering diagnostic knowledge from unstructured verbatim text descriptions. 46-52 - Zhiwei Xu
A novel fuzzy classification to enhance software regression testing. 53-58 - Pekka Siirtola
Ready-to-use activity recognition for smartphones. 59-64 - Yanfei Kang
How to extract meaningful shapes from noisy time-series subsequences? 65-72 - Kevin Bouchard, Abdenour Bouzouane, Bruno Bouchard:
Discovery of topological relations for spatial Activity Recognition. 73-80 - Azadeh Mousavi, Matt Duckham
Spatio-temporal event detection using probabilistic graphical models (PGMs). 81-88 - Mingzhi Li, Rui Wang, Ke Tang:
Combining Semi-Supervised and active learning for hyperspectral image classification. 89-94 - Fouzi Harrou, Mohamed N. Nounou, Hazem N. Nounou
Detecting abnormal ozone levels using PCA-based GLR hypothesis testing. 95-102 - Andrea Burattin
Business models enhancement through discovery of roles. 103-110 - R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst
Discovering signature patterns from event logs. 111-118 - Phil Weber
A principled approach to mining from noisy logs using Heuristics Miner. 119-126 - Jagadeesh Chandra J. C. Bose, R. S. Mans, Wil M. P. van der Aalst
Wanna improve process mining results? 127-134 - Claudio Di Ciccio
A two-step fast algorithm for the automated discovery of declarative workflows. 135-142 - Vilen Jumutc
Supervised Novelty Detection. 143-149 - Oliver Schulte, Bahareh Bina, Branden Crawford, D. Bingham, Yi Xiong:
A hierarchy of independence assumptions for multi-relational Bayes net classifiers. 150-159 - El-Sayed M. El-Alfy
Detecting pixel-value differencing steganography using Levenberg-Marquardt neural network. 160-165 - Nailah Al-Madi
Improving genetic programming classification for binary and multiclass datasets. 166-173 - Rameez Ahmad, Syed Paymaan Raza, Hafiz Malik
Unsupervised multimodal VAD using sequential hierarchy. 174-177 - Lining Zhang, Lipo Wang, Weisi Lin:
A semantic subspace learning method to exploit relevance feedback log data for image retrieval. 178-183 - Yin-Fu Huang, Heng Lin:
Web product ranking using opinion mining. 184-190 - Hassan Khosravi
Transaction-based link strength prediction in a social network. 191-198 - Heitor Murilo Gomes
SAE: Social Adaptive Ensemble classifier for data streams. 199-206 - Ali Idri
Software cost estimation by classical and Fuzzy Analogy for Web Hypermedia Applications: A replicated study. 207-213 - Dinuka Soysa, Denis Guangyin Chen, Oscar C. Au, Amine Bermak
Predicting YouTube content popularity via Facebook data: A network spread model for optimizing multimedia delivery. 214-221 - Suresh Veluru, Yogachandran Rahulamathavan
E-mail address categorization based on semantics of surnames. 222-229 - Peter Sarlin:
A Self-Organizing Time Map for time-to-event data. 230-237 - Nikolaos Gianniotis
Interpretable magnification factors for topographic maps of high dimensional and structured data. 238-245 - Mahsa Naseri, Simone A. Ludwig:
Automatic service composition using POMDP and provenance data. 246-253 - Seppe K. L. M. vanden Broucke, Jochen De Weerdt
A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM. 254-261 - Yongsheng Yang, Gang Li, Yongsheng Zhu, Youyun Zhang:
Nonnegative matrix factorization and artificial immune based classification for fault diagnosis of diesel valve train. 262-266 - Yinghao Huang, Yi Lu Murphey, Yao Ge:
Automotive diagnosis typo correction using domain knowledge and machine learning. 267-274 - Guoqi Li, Ning Ning, Kiruthika Ramanathan, Luping Shi:
Revised online learning with kernels for classification and regression. 275-279 - Weiping Ding, Quan Shi, Senbo Chen, Zhijin Guan, Jiandong Wang:
A novel quantum cooperative co-evolutionary algorithm for large-scale minimum attribute reduction optimization. 280-286 - Akhil Garg
Selection of a robust experimental design for the effective modeling of nonlinear systems using Genetic Programming. 287-292 - Mani Abedini
GPU-accelerated eXtended Classifier System. 293-300 - P. Oliveira, João Rocha
Semantic annotation tools survey. 301-307 - Mohamed Farouk Abdel Hady, M. Asham:
Class-dependent Canonical Correlation Analysis for scalable cross-lingual document categorization. 308-315 - Mahmoud O. Elish
Assessment of voting ensemble for estimating software development effort. 316-321
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