Contrast data mining concepts, algorithms, and applications
A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press
2012.
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| Edición: | 1st edition |
| Colección: | Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628597806719 |
Tabla de Contenidos:
- Front Cover; Contrast Data Mining: Concepts, Algorithms, and Applications; Copyright; Dedication; Table of Contents; Foreword; Preface; Part I: Preliminaries and Statistical Contrast Measures; 1. Preliminaries; 2. Statistical Measures for Contrast Patterns; Part II: Contrast Mining Algorithms; 3. Mining Emerging Patterns Using Tree Structures or Tree Based Searches; 4. Mining Emerging Patterns Using Zero-Suppressed Binary Decision Diagrams; 5. Efficient Direct Mining of Selective Discriminative Patterns for Classification; 6. Mining Emerging Patterns from Structured Data
- 7. Incremental Maintenance of Emerging PatternsPart III: Generalized Contrasts, Emerging Data Cubes, and Rough Sets; 8. More Expressive Contrast Patterns and Their Mining; 9. Emerging Data Cube Representations for OLAP Database Mining; 10. Relation Between Jumping Emerging Patterns and Rough Set Theory; Part IV: Contrast Mining for Classification & Clustering; 11. Overview and Analysis of Contrast Pattern Based Classification; 12. Using Emerging Patterns in Outlier and Rare-Class Prediction; 13. Enhancing Traditional Classifiers Using Emerging Patterns
- 14. CPC: A Contrast Pattern Based Clustering AlgorithmPart V: Contrast Mining for Bioinformatics and Chemoinformatics; 15. Emerging Pattern Based Rules Characterizing Subtypes of Leukemia; 16. Discriminating Gene Transfer and Microarray Concordance Analysis; 17. Towards Mining Optimal Emerging Patterns Amidst 1000s of Genes; 18. Emerging Chemical Patterns - Theory and Applications; 19. Emerging Patterns as Structural Alerts for Computational Toxicology; Part VI: Contrast Mining for Special Domains; 20. Emerging Patterns and Classification for Spatial and Image Data
- 21. Geospatial Contrast Mining with Applications on Labeled Spatial Data22. Mining Emerging Patterns for Activity Recognition; 23. Emerging Pattern Based Prediction of Heart Diseases and Powerline Safety; 24. Emerging Pattern Based Crime Spots Analysis and Rental Price Prediction; Part VII: Survey of Other Papers; 25. Overview of Results on Contrast Mining and Applications; Bibliography; Back Cover
