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ORCIDIntelligent Data Analysis, Volume 8
Volume 8, Number 1, 2004
- Kunhuang Huarng, Tiffany Hui-Kuang Yu:
A dynamic approach to adjusting lengths of intervals in fuzzy time series forecasting. 3-27 - Mihai M. Lazarescu, Svetha Venkatesh, Hung Hai Bui:
Using multiple windows to track concept drift. 29-59 - Brent D. Morring, Tony R. Martinez:
Weighted Instance Typicality Search (WITS): A nearest neighbor data reduction algorithm. 61-78 - Tianming Hu, Sam Yuan Sung:
A trimmed mean approach to finding spatial outliers. 79-95 - Peter Meinicke, Thomas Hermann, Holger Bekel, Horst M. Müller, Sabine Weiss, Helge J. Ritter:
Identification of discriminative features in the EEG. 97-107
Volume 8, Number 2, 2004
- Stergios Papadimitriou, Constantinos Terzidis:
Growing kernel-based self-organized maps trained with supervised bias. 111-130 - Elias Pampalk, Gerhard Widmer, Alvin T. S. Chan:
A new approach to hierarchical clustering and structuring of data with Self-Organizing Maps. 131-149 - Lili Liu, Andrew K. C. Wong, Yang Wang:
A global optimal algorithm for class-dependent discretization of continuous data. 151-170 - Krishnamoorthy Srikumar, Bharat Bhasker:
Efficiently mining Maximal Frequent Sets in dense databases for discovering association rules. 171-182 - Ha H. Nguyen, Christine W. Chan, Malcolm Wilson:
Prediction of oil well production: A multiple-neural-network approach. 183-196 - Ashwani Kumar, D. P. Agrawal, Shiv Dutt Joshi:
Multiscale rough set data analysis with application to stock performance modeling. 197-209
Volume 8, Number 3, 2004
- Miroslav Kubat, João Gama, Paul E. Utgoff:
Incremental learning and concept drift: Editor's introduction. 211-212 - Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro:
Incremental learning and concept drift in INTHELEX. 213-237 - Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda, Takashi Washio:
Adaptive Ripple Down Rules method based on minimum description length principle. 239-265 - Mondher Maddouri:
Towards a machine learning approach based on incremental concept formation. 267-280 - Ralf Klinkenberg:
Learning drifting concepts: Example selection vs. example weighting. 281-300 - Anthony V. Robins:
Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods. 301-322
Volume 8, Number 4, 2004
- Yongguo Liu, Xiaofeng Liao, Xueming Li, Zhongfu Wu:
A Tabu Clustering algorithm for Intrusion Detection. 325-344 - Sergio M. Savaresi, Daniel Boley:
A comparative analysis on the bisecting K-means and the PDDP clustering algorithms. 345-362 - Zoran Stejic, Yasufumi Takama, Kaoru Hirota:
Modified hierarchical genetic algorithm for relevance feedback in image retrieval. 363-384 - Wen Xian Yang:
An improved genetic algorithm adopting immigration operator. 385-401 - Maheshkumar Sabhnani, Gürsel Serpen:
Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set. 403-415 - Ming-Cheng Tseng, Wen-Yang Lin:
Maintenance of generalized association rules with multiple minimum supports. 417-436
Volume 8, Number 5, 2004
- Michael R. Berthold, Elizabeth Bradley, Rudolf Kruse:
Guest Editorial: "Advances in intelligent data analysis". 437-438 - Peter Geibel, Ulf Brefeld, Fritz Wysotzki:
Perceptron and SVM learning with generalized cost models. 439-455 - Tony Lindgren, Henrik Boström:
Resolving rule conflicts with double induction. 457-468 - Allan Tucker, Xiaohui Liu:
A Bayesian network approach to explaining time series with changing structure. 469-480 - Tobias Scheffer:
Email answering assistance by semi-supervised text classification. 481-493 - Heiko Hofer, Christian Borgelt, Michael R. Berthold:
Large scale mining of molecular fragments with wildcards. 495-504 - Vanessa Robins, Jennifer Abernethy, N. Rooney, Elizabeth Bradley:
Topology and intelligent data analysis. 505-515
Volume 8, Number 6, 2004
- Li Shen, James Ford, Fillia Makedon, Andrew J. Saykin:
A surface-based approach for classification of 3D neuroanatomic structures. 519-542 - Hsu-Chih Wu, Chuen-Tsai Sun, Sih-Shin Lee:
Visualization of evolutionary computation processes from a population perspective. 543-561 - Hyunju Noh, Minjung Kwak, Ingoo Han:
Improving the prediction performance of customer behavior through multiple imputation. 563-577 - Simone Garatti, Sergio M. Savaresi, Sergio Bittanti, Luca La Brocca:
On the relationships between user profiles and navigation sessions in virtual communities: A data-mining approach. 579-600 - Michiel C. van Wezel, Walter A. Kosters:
Nonmetric multidimensional scaling: Neural networks versus traditional techniques. 601-613 - Niall Rooney, David W. Patterson, Mykola Galushka:
A comprehensive review of recursive Naïve Bayes Classifiers. 615-628
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