BL 1. Apuntes de Análisis de Datos (PDF)

Apuntes de la asignatura. Resumen de teoría y breves guías de herramientas.

BL 2. Witten y Frank 2011. Lectura Obligatoria-Bibliografía-1. I. Witten y E. Frank: Data Mining: Practical Machine Learning Tools and Techniques (Third Edition) Morgan Kaufmann, 2011

BL 3. Hand 2001. David Hand 2001. Lectura Recomendada-Bibliografía-2. David Hand, Heikki Mannila: Principles of data mining. MIT Press, 2001.

BL 4. Berry 1999. Lectura Recomendada-Bibliografía-3. Michael Berry, Gordon Linoff, Data mining techniques for marketing, sales and customer support New York. Wiley & Sons, 1999

Referencias temas adicionales (HMMs con datos secuenciales):

BL 5: NLP-inspired structural pattern recognition in chemical application J. Sidorova, M. Anisimova Pattern Recognition Letters Volume 45, 1 August 2014, Pages 11–16.

BL 6: ATC trajectory reconstruction for automated evaluation of sensors and trackers performance. J. Besada, E. Voet, J. Garcia, G. Miguel, A. Soto. IEEE Aerospace and Electronic Systems Magazine. Feb 2013., Vol. 28, N2. pp 4-17.

BL 7: Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Front Cover. Richard Durbin. Cambridge University Press, Apr 23, 1998 (For bioinformaticians).

BL 8A: Lawrence R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE.1989. pp 257--286. (For engineers)

BL 8B: Daniel Jurafsky, James H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition. 2009. (For computational linguisits)

Última modificación: jueves, 24 de marzo de 2022, 11:36