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Intelligent Data Analysis, Volume 15
Volume 15, Number 1, 2011
- João Gama, Michael May:
Ubiquitous Knowledge Discovery. 1 - João Gama, Pedro Pereira Rodrigues, Luís M. B. Lopes:
Clustering distributed sensor data streams using local processing and reduced communication. 3-28 - Albert Bifet, Ricard Gavaldà:
Mining frequent closed trees in evolving data streams. 29-48 - Benoît Depaire, Rafael Falcón, Koen Vanhoof, Geert Wets:
PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments. 49-68 - Annalisa Appice, Michelangelo Ceci, Antonio Turi, Donato Malerba:
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets. 69-88 - Alice Marascu, Florent Masseglia:
Atypicity detection in data streams: A self-adjusting approach. 89-105
Volume 15, Number 2, 2011
- Editorial. 107-108
- Victor J. Rayward-Smith:
Measure based metrics for aggregated data. 109-130 - José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka:
A plan classifier based on Chi-square distribution tests. 131-149 - Karim Pichara, Alvaro Soto:
Active learning and subspace clustering for anomaly detection. 151-171 - Carlos Ordonez, Kai Zhao:
Evaluating association rules and decision trees to predict multiple target attributes. 173-192 - Sergio Decherchi, Paolo Gastaldo, Fabio Sangiacomo, Alessio Leoncini, Rodolfo Zunino:
Operative assessment of predicted generalization errors on non-stationary distributions in data-intensive applications. 193-214 - Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano:
An exploration of learning when data is noisy and imbalanced. 215-236 - Ning Chen, Armando Vieira, Bernardete Ribeiro, João M. M. Duarte, João Carvalho das Neves:
A stable credit rating model based on learning vector quantization. 237-250 - Vegard Engen, Jonathan Vincent, Keith Phalp:
Exploring discrepancies in findings obtained with the KDD Cup '99 data set. 251-276
Volume 15, Number 3, 2011
- Editorial. 277-278
- Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
Bayesian network classifiers: Beyond classification accuracy. 279-298 - Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral:
A memory efficient semi-Naive Bayes classifier with grouping of cases. 299-318 - Yu Qu, Hongye Su, Lichao Guo, Jian Chu:
A novel SVM modeling approach for highly imbalanced and overlapping classification. 319-341 - Damir Krstinic, Ivan Slapnicar:
Grid-based mode seeking procedure. 343-356 - Nguyen Duc Thang, Lihui Chen, Chee Keong Chan:
Robust mixture model-based clustering with genetic algorithm approach. 357-373 - Dengyao Mo, Samuel H. Huang:
Feature selection based on inference correlation. 375-398 - Jianping Yang, Hong-Zhong Huang, Qiang Miao, Rui Sun:
A novel information fusion method based on Dempster-Shafer evidence theory for conflict resolution. 399-411 - Maria Halkidi, Diomidis Spinellis, George Tsatsaronis, Michalis Vazirgiannis:
Data mining in software engineering. 413-441 - Jesus A. Gonzalez, Iván Olmos, Leopoldo Altamirano Robles, Blanca A. Morales, Carolina Reta, Martha C. Galindo, Jose E. Alonso, Ruben Lobato:
Leukemia identification from bone marrow cells images using a machine vision and data mining strategy. 443-462
Volume 15, Number 4, 2011
- Editorial. 463-464
- Iwan Tri Riyadi Yanto, Tutut Herawan, Mustafa Mat Deris:
Data clustering using variable precision rough set. 465-482 - Guy Shani, Asela Gunawardana, Christopher Meek:
Unsupervised hierarchical probabilistic segmentation of discrete events. 483-501 - Sara Hajian, Mohammad Abdollahi Azgomi:
A privacy preserving clustering technique for horizontally and vertically distributed datasets. 503-532 - Lan Umek, Blaz Zupan:
Subgroup discovery in data sets with multi-dimensional responses. 533-549 - Unil Yun, Keun Ho Ryu, Eunchul Yoon:
Weighted approximate sequential pattern mining within tolerance factors. 551-569 - Mahmood Deypir, Mohammad Hadi Sadreddini:
EclatDS: An efficient sliding window based frequent pattern mining method for data streams. 571-587 - Indre Zliobaite:
Combining similarity in time and space for training set formation under concept drift. 589-611 - Carlos Ordonez:
Data set preprocessing and transformation in a database system. 613-631 - Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Learning information diffusion model in a social network for predicting influence of nodes. 633-652
Volume 15, Number 5, 2011
- Editorial. 653-654
- Hanen Borchani, Pedro Larrañaga, Concha Bielza:
Classifying evolving data streams with partially labeled data. 655-670 - Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic, Zoran Obradovic:
Component-based decision trees for classification. 671-693 - Wei Peng, Tao Li:
Tensor clustering via adaptive subspace iteration. 695-713 - Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas:
Lazy attribute selection: Choosing attributes at classification time. 715-732 - Elena Montañés, José Ramón Quevedo, Maria M. Prieto:
A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser. 733-748 - Waqas Ahmed Malik, Antony Unwin:
Automated error detection using association rules. 749-761 - Toly Chen, Yi-Chi Wang:
A fuzzy-neural approach for global CO2 concentration forecasting. 763-777 - Sang Ho Park, Ju-Hong Lee, Hyo-Chan Lee:
Trend forecasting of financial time series using PIPs detection and continuous HMM. 779-799 - Adetokunbo Makanju, Nur Zincir-Heywood, Evangelos E. Milios:
Robust learning intrusion detection for attacks on wireless networks. 801-823
Volume 15, Number 6, 2011
- Editorial. 825-826
- Jun Won Lee, Christophe G. Giraud-Carrier:
A metric for unsupervised metalearning. 827-841 - Sareewan Dendamrongvit, Peerapon Vateekul, Miroslav Kubat:
Irrelevant attributes and imbalanced classes in multi-label text-categorization domains. 843-859 - Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. 861-887 - Shang Gao, Reda Alhajj, Jon G. Rokne, Jiwen Guan:
Mining sequential patterns with extensible knowledge representation. 889-911 - Ali Akramizadeh, Ahmad Afshar, Mohammad Bagher Menhaj:
Exploration strategies in n-Person general-sum multiagent reinforcement learning with sequential action selection. 913-929 - Peter Darcy, Bela Stantic, Abdul Sattar:
An intelligent approach to handle False-Positive Radio Frequency Identification Anomalies. 931-954 - Karim Tabia, Philippe Leray:
Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs. 955-978 - Carlos Nascimento Silla Jr., Alex Alves Freitas:
Selecting different protein representations and classification algorithms in hierarchical protein function prediction. 979-999 - Donald E. Brown, Fazel Famili, Gerhard Paass, Kate Smith-Miles, Lyn C. Thomas, Richard Weber, Ricardo Baeza-Yates, Cristián Bravo, Gaston L'Huillier, Sebastián Maldonado:
Future trends in business analytics and optimization. 1001-1017
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