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Semantic ScholarCIDM 2009: Nashville, TN, USA
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009, part of the IEEE Symposium Series on Computational Intelligence 2009, Nashville, TN, USA, March 30, 2009 - April 2, 2009. IEEE 2009, ISBN 978-1-4244-2765-9
Tutorial
- Fabian Mörchen:
Tutorial CIDM-T Temporal pattern mining in symbolic time point and time interval data.
CI/Probabilistic/Statistical and other methods I
- Barry Y. Chen, Tracy D. Lemmond, William G. Hanley:
Building ultra-low false alarm rate Support Vector Classifier ensembles using Random Subspaces. 1-8 - Su Chen, Tiejian Luo, Wei Liu, Yanxiang Xu:
Collaborative filtering with fine-grained trust metric. 9-16 - Willem S. van Heerden, Andries Petrus Engelbrecht:
HybridSOM: A generic rule extraction framework for self-organizing feature maps. 17-24 - Pei Li, Zhixu Li, Jun He, Xiaoyong Du, Hongyan Liu:
Assessing the influence probability between objects: A random walker approach. 25-32
CI/Probabilistic/Statistical and other methods II
- Yisong Chen, Hong Cui:
Intelligent feature extraction and knowledge mining by multivariate analyses. 33-39 - Yaohua Tang, Weimin Guo, Jinghuai Gao:
Efficient model selection for Support Vector Machine with Gaussian kernel function. 40-45 - Behrooz Safarinejadian, Mohammad B. Menhaj, Mehdi Karrari:
A fault tolerant peer-to-peer distributed EM algorithm. 46-52 - Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi:
A new hybrid method for Bayesian network learning With dependency constraints. 53-60 - Ali Ridho Barakbah, Yasushi Kiyoki:
A pillar algorithm for K-means optimization by distance maximization for initial centroid designation. 61-68
CI/Probabilistic/Statistical and other methods III
- Dengyuan Wu, Ying Liu, Ge Gao, Zhendong Mao, Weishan Ma, Tao He:
An adaptive ensemble classifier for concept drifting stream. 69-75 - Yang Zhang, Yuncai Liu:
Missing traffic flow data prediction using least squares support vector machines in urban arterial streets. 76-83 - Mehrnoush Famil Saeedian, Hamid Beigy:
Dynamic classifier selection using clustering for spam detection. 84-88 - Pekka Siirtola, Perttu Laurinen, Eija Haapalainen, Juha Röning, Hannu Kinnunen:
Clustering-based activity classification with a wrist-worn accelerometer using basic features. 95-100
Data Understanding, rule extraction, logical models I
- Andrei Olaru, Claudia Marinica, Fabrice Guillet:
Local mining of Association Rules with Rule Schemas. 118-124 - Wei Chen, Parvathi Chundi:
Extracting hot spots of basic and complex topics from time stamped documents. 125-132
Applications to biomedicine, e-commerce, engineering, etc I
- Seok-Ho Yoon, Sang-Wook Kim, Sunju Park:
Determining the strength of the propensities of a blog network. 140-145 - Anna L. Buczak, Linda J. Moniz, Brian H. Feighner, Joseph S. Lombardo:
Mining electronic medical records for patient care patterns. 146-153 - Na Cheng, Xiaoling Chen, Rajarathnam Chandramouli, K. P. Subbalakshmi:
Gender identification from E-mails. 154-158
Applications to biomedicine, e-commerce, engineering, etc II
- Zhenmin Lin, Jie Wang, Lian Liu, Jun Zhang:
Generalized random rotation perturbation for vertically partitioned data sets. 159-162 - William Eberle, Lawrence B. Holder:
Mining for insider threats in business transactions and processes. 163-170 - Sangoh Jeong, Doreen Cheng, Henry Song, Swaroop Kalasapur:
Non-collaborative interest mining for personal devices. 179-186
Applications to biomedicine, e-commerce, engineering, etc III
- Hamoud I. Aljamaan, Mahmoud O. Elish:
An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software. 187-194 - Filippo Galgani, Yiwen Sun, Pier Luca Lanzi, Jason Leigh:
Automatic analysis of eye tracking data for medical diagnosis. 195-202 - Fabio Aiolli, Michele De Filippo, Alessandro Sperduti:
Application of the preference learning model to a human resources selection task. 203-210
Data Understanding, rule extraction, logical models II
- Janusz Kacprzyk, Slawomir Zadrozny:
Data mining via protoform based linguistic summaries: Some possible relations to natural language generation. 217-224 - Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson:
Handling continuous attributes in Ant Colony Classification algorithms. 225-231 - Masoumeh Kalantari Khandani, Parvaneh Saeedi, Yaser P. Fallah, Mehdi K. Khandani:
A novel data clustering algorithm based on electrostatic field concepts. 232-237 - Tuve Löfström, Ulf Johansson, Henrik Boström:
Ensemble member selection using multi-objective optimization. 245-251
Text, graph and web mining
- Vladimír Bartík:
Association based classification for relational data and its use in web mining. 252-258 - Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook:
Empirical comparison of graph classification algorithms. 259-266 - Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook:
Faster computation of the direct product kernel for graph classification. 267-274 - Amir Ketata, Sudhir P. Mudur, Nematollaah Shiri:
Dependable performance analysis for fuzzy clustering of web usage data. 275-282 - Supphachai Thaicharoen, Tom Altman, Katheleen J. Gardiner, Krzysztof J. Cios:
Discovering relational knowledge from two disjoint sets of literatures using inductive Logic Programming. 283-290
Mining spatial and spatial-temporal data
- Jung-Im Won, Sang-Wook Kim, Ji-Haeng Baek, Junghoon Lee:
Trajectory clustering in road network environment. 299-305 - Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadeerat Rinsurongkawong:
An architecture and algorithms for multi-run clustering. 306-313 - Kelly Kingchi Yip, David A. Nembhard:
MWASP: Multiple-Width Approximate Sequential Patterns. 314-319 - Mahnhoon Lee:
Fuzzy p-mode prototypes: A generalization of frequency-based cluster prototypes for clustering categorical objects. 320-323
Mining of very large datasets, scalability
- Martin Gütlein, Eibe Frank, Mark A. Hall, Andreas Karwath:
Large-scale attribute selection using wrappers. 332-339 - R. Uday Kiran, P. Krishna Reddy:
An improved multiple minimum support based approach to mine rare association rules. 340-347
Feature extraction, selection, aggregation, construction
- Nhat Vo, Duc Vo, Subhash Challa, William Moran:
Parametric subspace analysis for dimensionality reduction and classification. 363-366 - Pablo Bermejo, José A. Gámez, José Miguel Puerta:
Incremental Wrapper-based subset Selection with replacement: An advantageous alternative to sequential forward selection. 367-374 - Stainam Nogueira Brandão, Wagner N. Silva, Luis A. E. Silva, Vladimir Fagundes, Carlos Eduardo R. de Mello, Geraldo Zimbrão, Jano Moreira de Souza:
Analysis and visualization of the geographical distribution of atlantic forest bromeliads species. 375-380 - Yongyan Wang, Kun Li, Hongan Wang:
Maintaining only frequent itemsets to mine approximate frequent itemsets over online data streams. 381-388
Mining of signals and data stream
- Soheil Hassas Yeganeh, Jafar Habibi, Hassan Abolhassani, Mahdi Abbaspour Tehrani, Jamshid Esmaelnezhad:
An approximation algorithm for finding skeletal points for density based clustering approaches. 403-410 - Xin Feng, Odilon K. Senyana:
Mining Multiple Temporal Patterns of complex dynamic data systems. 411-417
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