Meta decision trees (MDTs) are a method for combining multiple classifiers. We present an integration of the algorithm MLC4.5 for learning MDTs into the Weka data mining suite. We compare classifier ensembles combined with MDTs to bagged and boosted decision trees, and to classifier ensembles combined with other methods: voting, grading, multi-scheme and stacking with multi-response linear regr...

COVID-19 (Coronavirus) disease, observed in the city of Wuhan, China, on December 30, 2019, spread worldwide and caused a global epidemic. Since this epidemic can be transmitted very quickly easily, some precautions voluntary quarantine practices that governments have to take significantly changed habits world communities short time. This change has especially increased distance activities, suc...

Java Statistical Analysis Tool (JSAT) is a Machine Learning library written in pure Java. It works to fill a void in the Java ecosystem for a general purpose library that is relatively high performance and flexible, which is not adequately fulfilled by Weka (Hall et al., 2009) and Java-ML (Abeel et al., 2009). Almost all of the algorithms are independently implemented using an Object-Oriented f...

We are now in big data era, advances in data collection and management technologies have led to large databases. For example, domains such as Medicine, Biology, Music and experimental sciences in general, are all characterized by large data sequences. Considering the amount of space the big data required and the amount of IO required to fetch the big data, data compression has become an efficie...

title Feature Engineering and Quick Prototyping of Gene Mention Classifiers Abstract authors Manuel Maña Lopez (1) Jacinto Mata Vazquez (1) Francisco Carrero García (2) Jose Maria Gomez Hidalgo (2)authors Manuel Maña Lopez (1) Jacinto Mata Vazquez (1) Francisco Carrero García (2) Jose Maria Gomez Hidalgo (2) Abstract centers-organizations (1) Departamento de Ingeniería Electrónica, Sistemas Inf...