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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Power and Energy Systems. Get my own profile Cited by View all All Since Citations h-index 24 18 iindex 42 Learning with Imbalanced Domains: Environmental controls on estuarine nitrifying communities along a salinity gradient.

We created sentiment models and out-of-sample datasets, which are used as a gold standard for evaluations. Knowledge Discovery in Databases: Data mining with R: Expert Systems rorgo 1 By continuing to browse our site you accept our cookie policy. R academic applied-research basic-research biology concluded consulting-projects cost-sensitive learning costs ensembles evaluation feature engineering imbalance distributions imbalanced distributions imbalanced domains metal learning ongoing ongoing-projects past-projects phd postdoc regression trees relational learning spatiotemporal text mining time series utility utility’based learning.

Interval Forecast of Water Quality Parameters. Title Toorgo by Year Data mining with R: RibeiroBernhard Pfahringer: I am the author of the widely acclaimed Data Mining with R book published by CRC Press in with a strongly revised second edition that appeared in Staying Zombies or Awaiting for Resurrection?


Predicted microbial functional analyses revealed clear shifts and interrelationships between genes involved in anaerobic and aerobic degradation of PAHs and in the dissimilatory nitrate-reducing pathways denitrification and dissimilatory nitrate reduction to ammonium – DNRA.

Expert Systems 35 4 Terms of Use Privacy Policy Imprint. Arbitrated Ensemble for Solar Radiation Forecasting. Rule Combination in Inductive Learning.

Luís Torgo

Spatial Interpolation Using Multiple Regression. Next-generation sequencing NGS of 16 S rRNA gene amplicons revealed that the sediment type and incubation time were the main drivers influencing the microbial community structure rather than the impact of PAH amendments. Abstract Imbalanced domains liis an important problem that arises in predictive tasks causing a loss in the performance on the most relevant cases for the user.

Three months in a row as 1 selling Data Mining book at amazon. International Journal of Data Science and Analytics33, pp. If you choose to, you can easily unsubscribe from the newsletter by following the link presented in the footer. Encyclopedia of Machine Learning and Data Mining Forecasting the Correct Trading Actions. Regression error characteristic surfaces.

Arbitrated Ensemble for Time Series Forecasting. Arbitrage of Forecasting Experts DeepSense A solution for data analytics in the ocean economy. Nuno Moniz, Luis Torgo. Sentiment classes are ordered and unbalanced, and Twitter produces a stream of time-ordered data.

Utility-based Regression Chemosphere, pp. Predicting algae blooms Predicting stock market returns Detecting fraudulent transactions Classifying microarray samples.

Detecting Errors in Foreign Trade Transactions: With an extensive set of experiments, we provide evidence of the advantage of introducing a neighbourhood bias in the resampling strategies for both classification toorgo regression tasks with imbalanced data sets.


Destructive sampling at the beginning and after 3, 6, 12, 30 and 63 weeks incubation was performed. New articles by this author.

Luis Torgo – CRC Press Online

Abstract This study investigates the potential of an indigenous estuarine microbial consortium to degrade two polycyclic aromatic hydrocarbons PAHsnaphthalene and fluoranthene, under nitrate-reducing conditions. My profile My library Metrics Alerts. Ibero-American Conference on Artificial Intelligence, This is accomplished by presenting a series of illustrative case studies for which all necessary steps, code and data are provided to the reader.

This paper focuses on imbalanced domains in both classification and regression tasks. A strongly revised and extended Second Edition is out – check it!

This book is about learning how to use R for performing data mining. The following articles are merged in Scholar. Joaquim Pinto da Costa. Outlier detection using clustering methods: Inductive learning to tree-based regression models. Walter Van de Velde. We collected a torgl set of 1. He has been involved in many research projects under different roles and involving different types of organizations.

RibeiroBernhard PfahringerPaula Branco: