In many data mining applications we are given a set of training examples and asked to construct a regression machine or a classifier that has low prediction error or low error rat...
This paper describesthe use of AI planning techniques to representscientific, image processing, and software tool knowledge to automateknowledgediscoveryanddatamining (e.g.,scienc...
Steve A. Chien, Forest Fisher, Helen Mortensen, Ed...
Exploratory data analysis is a process of sifting through data in search of interesting information or patterns. Analysts’ current tools for exploring data include database mana...
Many classification algorithms are designed to work with datasets that contain only discrete attributes. Discretization is the process of converting the continuous attributes of ...
MineSetTM , Silicon Graphics’ interactive system for data mining, integrates three powerful technologies: database access, analytical data mining, and data visualization. It sup...
In Wirth t Reinartz (1996), we introduced the early indicator method, a multi-strategy approach for the efficient prediction of various aspectsof the fault profile of a set of car...