Lecture notes in data mining /

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The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend to be either broad and introductory or focus on some very specific technical aspect of the field. This...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Berry, Michael W., Browne, Murray
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; Hackensack, NJ : World Scientific, ©2006.
Temas:
Data mining.
Data Mining
Exploration de données (Informatique)
COMPUTERS > Desktop Applications > Databases.
COMPUTERS > Database Management > General.
COMPUTERS > System Administration > Storage & Retrieval.
Data mining
Datamining.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Point estimation algorithms
  • 2. Applications of Bayes Theorem
  • 3. Similarity measures
  • 4. Decision trees
  • 5. Genetic algorithms
  • 6. Classification: distance-based algorithms
  • 7. Decision tree-based algorithms
  • 8. Covering (rule-based) algorithms
  • 9. Clustering: an overview
  • 10. Clustering: hierarchical algorithms
  • ch. 11. Clustering: partitional algorithms
  • 12. Clustering: large databases
  • 13. Clustering: categorical attributes
  • 14. Association rules: an overview
  • 15. Association rules: parallel and distributed algorithms
  • 16. Association rules: advanced techniques and measures
  • 17. Spatial mining: techniques and algorithms.

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