Data classification : algorithms and applications /

"This book homes in on three primary aspects of data classification: the core methods for data classification including probabilistic classification, decision trees, rule-based methods, and SVM methods; different problem domains and scenarios such as multimedia data, text data, biological data,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Aggarwal, Charu C. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, [2015]
Colección:Chapman & Hall/CRC data mining and knowledge discovery series.
Temas:
File organization (Computer science)
Categories (Mathematics)
Algorithms.
Computer algorithms.
Fichiers (Informatique) > Organisation.
Catégories (Mathématiques)
Algorithmes.
algorithms.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 1. An introduction to data classification / Charu C. Aggarwal
  • 2. Feature selection for classification : a review / Jiliang Tang, Salem Alelyani, and Huan Liu
  • 3. Probabilistic models for classification / Hongbo Deng, Yizhou Sun, Yi Chang, and Jiawei Han
  • 4. Decision trees : theory and algorithms / Victor E. Lee, Lin Liu, and Ruoming Jin
  • 5. Rule-based classification / Xiao-Li Li and Bing Liu
  • 6. Instance-based learning : a survey / Charu C. Aggarwal
  • 7. Support vector machines / Po-Wei Wang and Chih-Jen Lin
  • 8. Neural networks : a review / Alain Biem
  • 9. A survey of stream classification algorithms / Charu C. Aggarwal
  • 10. Big data classification / Hanghang Tong
  • 11. Text classification / Charu C. Aggarwal and ChengXiang Zhai
  • 12. Multimedia classification / Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, and Thomas S. Huang
  • 13. Time series data classification / Dimitrios Kotsakos and Dimitrios Gunopulos
  • 14. Discrete sequence classification / Mohammad Al Hasan
  • 15. Collective classification of network data / Ben London and Lise Getoor
  • 16. Uncertain data classification / Reynold Cheng, Yixiang Fang, and Matthias Renz
  • 17. Rare class learning / Charu C. Aggarwal
  • 18. Distance metric learning for data classification / Fei Wang
  • 19. Ensemble learning / Yaliang Li, Jing Gao, Qi Li, and Wei Fan
  • 20. Semi-supervised learning / Kaushik Sinha
  • 21. Transfer learning / Sinno Jialin Pan
  • 22. Active learning : a survey / Charu C. Aggarwal, Xiangnan Kong, Quanquan Gu, Jiawei Han, and Philip S. Yu
  • 23. Visual classification / Giorgio Maria Di Nunzio
  • 24. Evaluation of classification methods / Nele Verbiest, Karel Vermeulen, and Ankur Teredesai
  • 25. Educational and software resources for data classification / Charu C. Aggarwal.

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