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ORCIDContrast Data Mining, 2013
- Guozhu Dong, James Bailey:
Contrast Data Mining: Concepts, Algorithms, and Applications. CRC Press 2013, ISBN 978-1-43-985432-7
Preliminaries and Statistical Contrast Measures
- Guozhu Dong:
Preliminaries. Contrast Data Mining 2013: 3-12 - James Bailey:
Statistical Measures for Contrast Patterns. Contrast Data Mining 2013: 13-20
Contrast Mining Algorithms
- James Bailey, Kotagiri Ramamohanarao:
Mining Emerging Patterns Using Tree Structures or Tree Based Searches. Contrast Data Mining 2013: 23-30 - James Bailey, Elsa Loekito:
Mining Emerging Patterns Using Zero-Suppressed Binary Decision Diagrams. Contrast Data Mining 2013: 31-38 - Hong Cheng, Jiawei Han, Xifeng Yan, Philip S. Yu:
Efficient Direct Mining of Selective Discriminative Patterns for Classification. Contrast Data Mining 2013: 39-58 - James Bailey:
Mining Emerging Patterns from Structured Data. Contrast Data Mining 2013: 59-68 - Mengling Feng, Guozhu Dong:
Incremental Maintenance of Emerging Patterns. Contrast Data Mining 2013: 69-86
Generalized Contrasts, Emerging Data Cubes, and Rough Sets
- Lei Duan, Milton García-Borroto, Guozhu Dong:
More Expressive Contrast Patterns and Their Mining. Contrast Data Mining 2013: 89-108 - Sébastien Nedjar, Lotfi Lakhal, Rosine Cicchetti:
Emerging Data Cube Representations for OLAP Database Mining. Contrast Data Mining 2013: 109-128 - Pawel Terlecki, Krzysztof Walczak:
Relation Between Jumping Emerging Patterns and Rough Set Theory. Contrast Data Mining 2013: 129-148
Contrast Mining for Classification and Clustering
- Xiuzhen Zhang, Guozhu Dong:
Overview and Analysis of Contrast Pattern Based Classification. Contrast Data Mining 2013: 151-170 - Lijun Chen, Guozhu Dong:
Using Emerging Patterns in Outlier and Rare-Class Prediction. Contrast Data Mining 2013: 171-186 - Guozhu Dong, Kotagiri Ramamohanarao:
Enhancing Traditional Classifiers Using Emerging Patterns. Contrast Data Mining 2013: 187-196 - Neil Fore, Guozhu Dong:
CPC: A Contrast Pattern Based Clustering Algorithm. Contrast Data Mining 2013: 197-216
Contrast Mining for Bioinformatics and Chemoinformatics
- Jinyan Li, Limsoon Wong:
Emerging Pattern Based Rules Characterizing Subtypes of Leukemia. Contrast Data Mining 2013: 219-232 - Shihong Mao, Guozhu Dong:
Discriminating Gene Transfer and Microarray Concordance Analysis. Contrast Data Mining 2013: 233-240 - Shihong Mao, Guozhu Dong:
Toward Mining Optimal Emerging Patterns Admidst 1000s of Genes. Contrast Data Mining 2013: 241-252 - Jens Auer, Martin Vogt, Jürgen Bajorath:
Emerging Chemical Patterns - Theory and Applications. Contrast Data Mining 2013: 253-268 - Bertrand Cuissart, Guillaume Poezevara, Bruno Crémilleux, Alban Lepailleur, Ronan Bureau:
Emerging Patterns as Structural Alerts for Computational Toxicology. Contrast Data Mining 2013: 269-282
Contrast Mining for Special Domains
- Lukasz Kobylinski, Krzysztof Walczak:
Emerging Patterns and Classification for Spatial and Image Data. Contrast Data Mining 2013: 285-302 - Wei Ding, Tomasz F. Stepinski, Josue Salazar:
Geospatial Contrast Mining with Applications on Labeled Spatial Data. Contrast Data Mining 2013: 303-316 - Tao Gu, Zhanqing Wu, XianPing Tao, Hung Keng Pung, Jian Lu:
Mining Emerging Patterns for Activity Recognition. Contrast Data Mining 2013: 317-328 - Keun Ho Ryu, Dong Gyu Lee, Minghao Piao:
Emerging Pattern Based Prediction of Heart Diseases and Powerline Safety. Contrast Data Mining 2013: 329-336 - Naoki Katoh, Atsushi Takizawa:
Emerging Pattern Based Crime Spots Analysis and Rental Price Prediction. Contrast Data Mining 2013: 337-350
Survey of Other Papers
- Guozhu Dong:
Overview of Results on Contrast Mining and Applications. Contrast Data Mining 2013: 353-362
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