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ORCIDIntelligent Data Analysis, Volume 11
Volume 11, Number 1, 2007
- Martin Scholz, Ralf Klinkenberg:
Boosting classifiers for drifting concepts. 3-28 - Pierre-Alain Laur, Jean-Emile Symphor, Richard Nock, Pascal Poncelet:
Statistical supports for mining sequential patterns and improving the incremental update process on data streams. 29-47 - Claudio Silvestri, Salvatore Orlando:
Approximate mining of frequent patterns on streams. 49-73 - Xue Li, Jorge M. Barajas, Yi Ding:
Collaborative filtering on streaming data with interest-drifting. 75-87 - Osnat Horovitz, Shonali Krishnaswamy, Mohamed Medhat Gaber:
A fuzzy approach for interpretation of ubiquitous data stream clustering and its application in road safety. 89-108
Volume 11, Number 2, 2007
- Despina Kontos, Vasileios Megalooikonomou, Vasileios J. Sobel:
A statistical approach for selecting discriminative features of spatial regions of interest. 111-135 - Marcus R. Keogh-Brown, Barbara Bogacka:
WWW traffic measure and its properties. 137-154 - Jaime R. S. Fonseca, Margarida G. M. S. Cardoso:
Mixture-model cluster analysis using information theoretical criteria. 155-173 - Simone Garatti, Sergio Bittanti, Diego Liberati, Andrea Maffezzoli:
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data. 175-188 - Samuel H. Huang, Ranganath Kothamasu, Niharika Rapur:
Iterative imputation algorithms for process modeling with incomplete data. 189-202 - Suresh Kumar, José E. Guivant, Ben Upcroft, Hugh F. Durrant-Whyte:
Sequential nonlinear manifold learning. 203-222
Volume 11, Number 3, 2007
- Lev V. Utkin:
Second-order uncertainty calculations by using the imprecise Dirichlet model. 225-244 - Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, Lili Zhao:
The multiple imputation quantitative noise corrector. 245-263 - Jen-Peng Huang, Show-Ju Chen, Huang-Cheng Kuo:
An efficient incremental mining algorithm-QSD. 265-278 - Shyue-Liang Wang, Kuan-Wei Huang, Tien-Chin Wang, Tzung-Pei Hong:
Maintenance of informative ruler sets for predictions. 279-292 - Tadeusz Pietraszek:
Classification of intrusion detection alerts using abstaining classifiers. 293-316
Volume 11, Number 4, 2007
- Ting Su, Jennifer G. Dy:
In search of deterministic methods for initializing K-means and Gaussian mixture clustering. 319-338 - Chandan Chakraborty, Debjani Chakraborty:
Fuzzy rule base for consumer trustworthiness in Internet marketing: An interactive fuzzy rule classification approach. 339-353 - Mostafa Haghir Chehreghani, Masoud Rahgozar, Caro Lucas, Morteza Haghir Chehreghani:
A heuristic algorithm for clustering rooted ordered trees. 355-376 - Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook:
Inference of node replacement graph grammars. 377-400 - Shucheng Huang, Yisheng Dong:
An active learning system for mining time-changing data streams. 401-419 - Kai Hu, Samuel H. Huang:
Solving inverse problems using Particle Swarm Optimization: An application to aircraft fuel measurement considering sensor failure. 421-434
Volume 11, Number 5, 2007
- Michael Hahsler, Kurt Hornik:
New probabilistic interest measures for association rules. 437-455 - Yoav Horman, Gal A. Kaminka:
Removing biases in unsupervised learning of sequential patterns. 457-480 - K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
Selective dissemination of XML documents based on genetically learned user model and Support Vector Machines. 481-496 - Alexander K. Seewald:
An evaluation of Naive Bayes variants in content-based learning for spam filtering. 497-524 - Jose Luis Flores, Iñaki Inza, Pedro Larrañaga:
Wrapper discretization by means of estimation of distribution algorithms. 525-545 - Amitava Karmaker, Stephen Kwek:
An iterative refinement approach for data cleaning. 547-560 - Stan Salvador, Philip Chan:
Toward accurate dynamic time warping in linear time and space. 561-580
Volume 11, Number 6, 2007
- Mahamed G. H. Omran, Andries P. Engelbrecht, Ayed A. Salman:
An overview of clustering methods. 583-605 - Paul R. Cohen, Niall M. Adams, Brent Heeringa:
Voting experts: An unsupervised algorithm for segmenting sequences. 607-625 - Jürgen Beringer, Eyke Hüllermeier:
Efficient instance-based learning on data streams. 627-650 - Tom Burr, Justin Doak:
Distribution-free discriminant analysis. 651-662 - William Eberle, Lawrence B. Holder:
Anomaly detection in data represented as graphs. 663-689 - Srinivasan Ramakrishnan, Srinivasan Selvan:
Image texture classification using wavelet packet transform and probabilistic neural network. 691-705 - Sajib Barua, Reda Alhajj:
High performance computing for spatial outliers detection using parallel wavelet transform. 707-730
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