title: Open-source tools for data mining.
abstract: With a growing volume of biomedical databases and repositories, the need to develop a set of tools to address their analysis and support knowledge discovery is becoming acute. The data mining community has developed a substantial set of techniques for computational treatment of these data. In this article, we discuss the evolution of open-source toolboxes that data mining researchers and enthusiasts have developed over the span of a few decades and review several currently available open-source data mining suites. The approaches we review are diverse in data mining methods and user interfaces and also demonstrate that the field and its tools are ready to be fully exploited in biomedical research.
authors.affiliation: University of Ljubljana, Trzaska 25, SI-1000 Ljubljana, Slovenia. blaz.zupan@fri.uni-lj.si
authors.forename: Blaz
authors.initials: B
authors.lastname: Zupan
authors.forename: Janez
authors.initials: J
authors.lastname: Demsar
mesh_terms: D001185:Artificial Intelligence; D035843:Biomedical Research; D019295:Computational Biology / Q000379:methods*; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D003658:Decision Making, Computer-Assisted; D006801:Humans; D010363:Pattern Recognition, Automated; D012984:Software