Bibliografia

Roman B. Statnikov and Joseph B. Matusov, Multicriteria Analysis in Engineering, Springer-Science+Business Media, B.V., 2002 Communities and Local Government, Multi-criteria analysis: a manual. Communities and Local Government Publications [Online], 2009 Tom Mitchell. Machine Learning, McGraw Hill, 1997, ISBN 978-0070428072 Ethem Alpaydin. Introduction to Machine Learning. MIT Press (2010). ISBN 026201243X. Edd Dumbill, Jeremy Howard, Margit Zwemer, Mike Loukides, Aria Haghighi, Mac Slocum, Alistair Croll, Jim Stogdill, Andy Kirk, Tim O’Reilly, Julie Steels, Colin Hill, Alex Howard, Big Data Now: 2012 Edition, O’Reilly Media, Inc., O´Reilly, STRATA Conference. Ian H. Witten, Eibe Frank, and Mark A. Hall. Data Mining: Practical Machine Learning Tools and Techniques (Third Edition). 2011. Morgan Kaufman. ISBN: 978-0-12-374856-0 Sholom M. Weiss, Nitin Indurkhya, and Tong Zhang. Fundamentals of Predictive Text Mining. 2010. Springer. ISBN: 978-1-84996-225-4. :

Stanley Zionts, Mutiple Criteria problem solving, Springer-Verlag, Berlin, 1978 G. Fandel and T. Gal, Multiple criteria decision making: theory and application, Springer-Verlag, Berlin,1980 Tom White. Hadoop: The Definitive Guide, O’Reilly, ISBN 978-0262012430. Cathy O'Neil , Rachel Schutt, Doing Data Science: Straight Talk from the Frontline, O’Reilly, 2013, ISBN 978-1449358655. Chris Manning and Hinrich Schütze. Foundations of Statistical Natural Language Processing. 1999. MIT Press. ISBN: 0-262-13360-1 Daniel Jurafsky and James H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (Second Edition). 2008. Pearson Prentice Hall. ISBN: 978-0131873216 :