dblp: Contrast Data Mining (original) (raw)

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    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

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    Guozhu Dong:
    Preliminaries. Contrast Data Mining 2013: 3-12
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    James Bailey:
    Statistical Measures for Contrast Patterns. Contrast Data Mining 2013: 13-20

Contrast Mining Algorithms

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    James Bailey, Kotagiri Ramamohanarao:
    Mining Emerging Patterns Using Tree Structures or Tree Based Searches. Contrast Data Mining 2013: 23-30
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    James Bailey, Elsa Loekito:
    Mining Emerging Patterns Using Zero-Suppressed Binary Decision Diagrams. Contrast Data Mining 2013: 31-38
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    Hong Cheng, Jiawei Han, Xifeng Yan, Philip S. Yu:
    Efficient Direct Mining of Selective Discriminative Patterns for Classification. Contrast Data Mining 2013: 39-58
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    James Bailey:
    Mining Emerging Patterns from Structured Data. Contrast Data Mining 2013: 59-68
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    Mengling Feng, Guozhu Dong:
    Incremental Maintenance of Emerging Patterns. Contrast Data Mining 2013: 69-86

Generalized Contrasts, Emerging Data Cubes, and Rough Sets

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    Lei Duan, Milton García-Borroto, Guozhu Dong:
    More Expressive Contrast Patterns and Their Mining. Contrast Data Mining 2013: 89-108
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    Sébastien Nedjar, Lotfi Lakhal, Rosine Cicchetti:
    Emerging Data Cube Representations for OLAP Database Mining. Contrast Data Mining 2013: 109-128
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    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

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    Xiuzhen Zhang, Guozhu Dong:
    Overview and Analysis of Contrast Pattern Based Classification. Contrast Data Mining 2013: 151-170
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    Lijun Chen, Guozhu Dong:
    Using Emerging Patterns in Outlier and Rare-Class Prediction. Contrast Data Mining 2013: 171-186
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    Guozhu Dong, Kotagiri Ramamohanarao:
    Enhancing Traditional Classifiers Using Emerging Patterns. Contrast Data Mining 2013: 187-196
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    Neil Fore, Guozhu Dong:
    CPC: A Contrast Pattern Based Clustering Algorithm. Contrast Data Mining 2013: 197-216

Contrast Mining for Bioinformatics and Chemoinformatics

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    Jinyan Li, Limsoon Wong:
    Emerging Pattern Based Rules Characterizing Subtypes of Leukemia. Contrast Data Mining 2013: 219-232
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    Shihong Mao, Guozhu Dong:
    Discriminating Gene Transfer and Microarray Concordance Analysis. Contrast Data Mining 2013: 233-240
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    Shihong Mao, Guozhu Dong:
    Toward Mining Optimal Emerging Patterns Admidst 1000s of Genes. Contrast Data Mining 2013: 241-252
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    Jens Auer, Martin Vogt, Jürgen Bajorath:
    Emerging Chemical Patterns - Theory and Applications. Contrast Data Mining 2013: 253-268
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    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

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    Lukasz Kobylinski, Krzysztof Walczak:
    Emerging Patterns and Classification for Spatial and Image Data. Contrast Data Mining 2013: 285-302
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    Wei Ding, Tomasz F. Stepinski, Josue Salazar:
    Geospatial Contrast Mining with Applications on Labeled Spatial Data. Contrast Data Mining 2013: 303-316
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    Tao Gu, Zhanqing Wu, XianPing Tao, Hung Keng Pung, Jian Lu:
    Mining Emerging Patterns for Activity Recognition. Contrast Data Mining 2013: 317-328
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    Keun Ho Ryu, Dong Gyu Lee, Minghao Piao:
    Emerging Pattern Based Prediction of Heart Diseases and Powerline Safety. Contrast Data Mining 2013: 329-336
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    Naoki Katoh, Atsushi Takizawa:
    Emerging Pattern Based Crime Spots Analysis and Rental Price Prediction. Contrast Data Mining 2013: 337-350

Survey of Other Papers

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    Guozhu Dong:
    Overview of Results on Contrast Mining and Applications. Contrast Data Mining 2013: 353-362

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