Chapters in Books (with peer review)

S. Moro, P. Cortez and P. Rita. An automated literature analysis on data mining applications to credit risk assessment. [©Palgrave Macmillan] [RepositoriUM] In C.L. Dunis, P. Middleton, T. Konstantinos and A. Karathanasopoulos (Eds.), Artificial Intelligence in Financial Markets: Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics book, series: New Developments in Quantitative Trading and Investment, pp. 161-177, November, 2016, Palgrave Macmillan, ISBN 978-1-137-48879-4. [1 G] citations.

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.