LUIS TORGO PDF

Proceedings of KDNet Symposium on Knowledge-based systems for the Public Sector, , Functional models for regression tree leaves. L Torgo. List of computer science publications by Luís Torgo. Luis Torgo is an Associate Professor of the Department of Computer Science of the Faculty of Sciences of the University of Porto, Portugal. He is a senior.

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Learning with Case Studies. Ibero-American Conference on Artificial Intelligence, View all Supervised Theses. Current Trends in Knowledge Acquisition, Your subscription has been successfully removed. Regression by classification L Torgo, J Gama Brazilian symposium on artificial intelligence, Spatial Interpolation Using Multiple Regression. Meta Learning for Utility Maximization in Regression.

Inductive learning to tree-based regression models. He has been involved in many research projects under different roles and involving different types of organizations.

The book writing style establishes it as a good source for practical classes on data mining, but also as an attractive document to professionals working on data mining in non-academic environments. This problem has been extensively studied for classification problems, where the target variable is nominal.

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Selected Publications

Staying Zombies or Awaiting for Resurrection? Outlier detection using clustering methods: Abstract Imbalanced domains are an important problem that arises in luiss tasks causing a loss in the performance on the most relevant cases for the user. University of Porto, Portugal. We created sentiment models and out-of-sample datasets, which are used as a gold standard for evaluations. Most of the main data mining processes torgoo techniques are covered in the book by means of the presentation of four detailed case studies: Sentiment classes are ordered and unbalanced, and Twitter produces a stream of time-ordered data.

Luís Torgo – personal home page

Vitor Cerqueira Forgo of Porto Verified email at inesctec. Title Cited by Year Data mining with R: My favourite tool is the R programming language and environment. Terms of Use Privacy Policy Imprint. Interval Forecast of Water Quality Parameters.

Forecasting the Correct Trading Actions. Paula Branco Utility-based Predictive Analytics.

Luís Torgo

Potential of dissimilatory nitrate reduction pathways in polycyclic aromatic hydrocarbon degradation. RibeiroBernhard PfahringerPaula Branco: This book is about learning how to use Luid for performing data mining.

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Design of an end-to-end method to extract information from tables. Learning with Imbalanced Domains: Resampling Strategies for Imbalanced Time Series. Applications to Financial Trading.

Book entered the production stage. An open, collaborative, frictionless, automated machine learning environment. Precision and Recall for Regression.

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