Features

UCI MACHINE LEARNING REPOSITORY: NEW WEB SITE AND FEATURES

We are very pleased to announce the launch of a newly revamped web site for the UCI Machine Learning Repository*, online at:

http://archive.ics.uci.edu/ml/

We have developed a new search portal that allows for faceted browsing of over 160 different data sets, using criteria such as data type, attribute type, number of instances, and number of attributes. The web site allows users to easily find data sets that satisfy particular criteria, such as "show all data sets containing only real-valued attributes and rank by number of instances." In collaboration with Rexa.info, the site now also provides links to published papers that have cited each data set.

We are always interested in new data set donations. If you have a data set that you would like to make available to the entire machine learning community, please feel free to donate using our automated web form. We thank all the previous donors for making this Repository a success.

Arthur Asuncion, David Newman
University of California, Irvine

• Funding support from the National Science Foundation is gratefully acknowledged, under a Computing Research Infrastructure grant, award number CNS-0551510 (PIs: Andrew McCallum, University of Massachusetts, and Padhraic Smyth, University of California, Irvine).