title: Introducing Machine Learning Concepts with WEKA.
abstract: This chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple data set, then proceeds to explain how one might approach a bioinformatics problem. Finally, it includes a brief summary of machine learning algorithms for other types of data mining problems, and provides suggestions about where to find additional information.
authors.affiliation: Department of Computer Science, University of Waikato, Hamilton, New Zealand. tcs@waikato.ac.nz.
authors.forename: Tony C
authors.initials: TC
authors.lastname: Smith
authors.affiliation: Department of Computer Science, University of Waikato, Hamilton, New Zealand.
authors.forename: Eibe
authors.initials: E
authors.lastname: Frank
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D030541:Databases, Genetic; D000069550:Machine Learning; D012984:Software
keywords: Bioinformatics; Data mining; Machine learning; Tutorial; WEKA