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ORCIDIntelligent Data Analysis, Volume 9
Volume 9, Number 1, 2005
- Taghi M. Khoshgoftaar, Shi Zhong, Vedang H. Joshi:
Enhancing software quality estimation using ensemble-classifier based noise filtering. 3-27 - Christos Berberidis, Ioannis P. Vlahavas:
Mining for weak periodic signals in time series databases. 29-42 - Chien-Yu Chen, Shien-Ching Hwang, Yen-Jen Oyang:
Analysis and summarization of correlations in data cubes and its application in microarray data analysis. 43-57 - Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Sophie Rome:
Constraint-based concept mining and its application to microarray data analysis. 59-82 - Ferenc Bodon, Ioannis N. Kouris, Christos Makris, Athanasios K. Tsakalidis:
Automatic discovery of locally frequent itemsets in the presence of highly frequent itemsets. 83-104 - Mathias Rossignol, Pascale Sébillot:
Combining statistical data analysis techniques to extract topical keyword classes from corpora. 105-127
Volume 9, Number 2, 2005
- Lior Rokach, Oded Maimon:
Feature set decomposition for decision trees. 131-158 - Martin Znidarsic, Marko Bohanec:
Data-based revision of probability distributions in qualitative multi-attribute decision models. 159-174 - Marc Boullé:
Optimal bin number for equal frequency discretizations in supervized learning. 175-188 - Clifford S. Thomas, Catherine A. Howie, Leslie S. Smith:
A New Singly Connected Network Classifier based on Mutual Information. 189-205 - Shitong Wang, Korris Fu-Lai Chung, Hong-Bin Shen:
Fuzzy taxonomy, quantitative database and mining generalized association rules. 207-217 - Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Tieju Ma:
Mining scientific literature to predict new relationships. 219-234
Volume 9, Number 3, 2005
- Wei-Chou Chen, Ming-Chun Yang, Shian-Shyong Tseng:
A novel feature selection method for large-scale data sets. 237-251 - Yu He, Lihui Chen:
A threshold criterion, auto-detection and its use in MST-based clustering. 253-271 - Antonin Rozsypal, Miroslav Kubat:
Association mining in time-varying domains. 273-288 - Graeme Richards, Victor J. Rayward-Smith:
The discovery of association rules from tabular databases comprising nominal and ordinal attributes. 289-307 - Taghi M. Khoshgoftaar, Kehan Gao, Nawal H. Ibrahim:
Evaluating indirect and direct classification techniques for network intrusion detection. 309-326
Volume 9, Number 4, 2005
- Saeed Hashemi:
A linear wrapper for sample subset selection in atypical detection. 329-345 - Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao:
Detecting noisy instances with the rule-based classification model. 347-364 - Jae-Moon Lee, Rafael A. Calvo:
Scalable document classification. 365-380 - Tobias Scheffer:
Finding association rules that trade support optimally against confidence. 381-395 - James Geller, Xuan Zhou, Kalpana Prathipati, Sripriya Kanigiluppai, Xiaoming Chen:
Raising data for improved support in rule mining: How to raise and how far to raise. 397-415
Volume 9, Number 5, 2005
- Hong-Bin Shen, Jie Yang, Ningjiang Chen, Yifei Dong, Shitong Wang:
Performing clustering analysis on collaborative models. 419-438 - P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
Dynamic Association Rule Mining using Genetic Algorithms. 439-453 - Arup Kumar Nandi, Frank Klawonn:
Detecting and identifying ambiguities in regression problems: An approach using a modified mountain method. 455-472 - Malik Agyemang, Ken Barker, Reda Alhajj:
Web outlier mining: Discovering outliers from web datasets. 473-486 - Taghi M. Khoshgoftaar, Pierre Rebours:
Evaluating noise elimination techniques for software quality estimation. 487-508
Volume 9, Number 6, 2005
- Grigorios Tsoumakas, Lefteris Angelis, Ioannis P. Vlahavas:
Selective fusion of heterogeneous classifiers. 511-525 - Stergios Papadimitriou, Constantinos Terzidis:
Efficient and interpretable fuzzy classifiers from data with support vector learning. 527-550 - Tianming Hu, Sam Yuan Sung:
Consensus clustering. 551-565 - Jinyan Li, Limsoon Wong:
Structural geography of the space of emerging patterns. 567-588 - Taghi M. Khoshgoftaar, Jason Van Hulse:
Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm. 589-602 - Chenyong Hu, Benyu Zhang, Yongji Wang, Shuicheng Yan, Zheng Chen, Qing Wang, Qiang Yang:
Learning quantifiable associations via principal sparse non-negative matrix factorization. 603-620
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