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Título:
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Data mining and analysis : fundamental concepts and algorithms
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Autores:
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Mohammed J. Zaki ;
Wagner, Jr. Meira
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Tipo de documento:
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texto impreso
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Editorial:
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New York : Columbia University Press, 2014
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ISBN/ISSN/DL:
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978-0-521-76633-3
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Dimensiones:
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xi, 593 p. / il. / 26 cm.
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Langues:
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Inglés
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Clasificación:
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004.421 (Algoritmos para construcción del programa)
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Materias:
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Algoritmo
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Análisis de datos
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Informática
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Nota de contenido:
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1. Data mining and analysis; Part I. Data Analysis Foundations: 2. Numeric attributes; 3. Categorical attributes; 4. Graph data; 5. Kernel methods; 6. High-dimensional data; 7. Dimensionality reduction; Part II. Frequent Pattern Mining: 8. Itemset mining; 9. Summarizing itemsets; 10. Sequence mining; 11. Graph pattern mining; 12. Pattern and rule assessment; Part III. Clustering: 13. Representative-based clustering; 14. Hierarchical clustering; 15. Density-based clustering; 16. Spectral and graph clustering; 17. Clustering validation; Part IV. Classification: 18. Probabilistic classification; 19. Decision tree classifier; 20. Linear discriminant analysis; 21. Support vector machines; 22. Classification assessment.
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