Chapters in Books (with peer review)

S. Moro, P. Cortez, P. Rita. An automated literature analysis on data mining applications to credit risk assessment, In C.L. Dunis, P. Middleton, T. Konstantinos and A. Karathanasopoulos (Ed.), Artificial Intelligence in Financial Markets: Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics book, Palgrave Macmillan, series: New Developments in Quantitative Trading and Investment, In press.

N. Oliveira, P. Cortez and N. Areal. Sentiment Analysis of Stock Market Behavior from Twitter Using the R Tool. [©Chapman and Hall/CRC] [RepositoriUM] In M. Hofmann and A. Chisholm (Eds.), Text Mining, Web Mining, and Visualization Use Cases Using Open Source Tools, Data Mining and Knowledge Discovery Series, chapter 10, pp. 223-240, December, 2015, Chapman and Hall/CRC, ISBN 978-1-4822-3758-0.

N. Caetano, P. Cortez and R. Laureano. Using Data Mining for Prediction of Hospital Length of Stay: An Application of the CRISP-DM Methodology. [©Springer] [RepositoriUM] In J. Cordeiro, S. Hammoudi, L. Maciaszek, O. Camp and J. Filipe (Eds.), Enterprise Information Systems, 16th International Conference, ICEIS 2014, Lisbon, Portugal, April 27-30, 2014, Revised Selected Papers, Lecture Notes in Business Information Processing 227, pp. 149-166, September, 2015, Springer, ISBN 978-3-319-22348-3.
P. Cortez. Data Mining with Multilayer Perceptrons and Support Vector Machines. [©Springer] [RepositoriUM] [bib] In D. Holmes and L. Jain (Eds.), DATA MINING: Foundations and Intelligent Paradigms, Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis, ISRL 24, chapter 2, pp. 9-25, 2012. Springer. ISBN 978-3-642-23240-4
Á. Silva, P. Cortez, M.F. Santos, L. Gomes and J. Neves. Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks. [©Springer] [RepositoriUM] [bib] In I. Seruca, J. Cordeiro, S. Hammoudi and J. Filipe (Eds.), Enterprise Information Systems VI, pp. 127-134, The Netherlands, 2006. Springer, ISBN:1-4020-3674-4.

P. Cortez, M. Rocha and J. Neves. Time Series Forecasting by Evolutionary Neural Networks. [Idea-Group] [RepositoriUM] [bib] In J. Rubuņal and J. Dorado (Eds.), Artificial Neural Networks in Real-Life Applications. chapter III, pp. 47-70, Hershey, USA, 2006. Idea Group Publishing, ISBN:1-59140903-9.


Paulo Cortez 2016-08-11