Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Code synthesis is routinely used in industry to generate GUIs, form lling applications, and database support code and is even used with COBOL. In this paper we consider the questi...
Wray L. Buntine, Bernd Fischer 0002, Thomas Pressb...
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
Companies trading stocks need to store information on stock prices over specific time intervals, which results in very large databases. Large quantities of numerical data (thousan...
Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Chr...
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...