Animportantsuccessfactor for the field of KDDlies in the developmentand integration of methodsfor supporting the construction and execution of KDDprocesses. Crucial aspects in thi...
Abstract Data mining algorithms have been recently applied to software repositories to help on the maintenance of evolving software systems. In the past, information about what cla...
Lile Hattori, Gilson Pereira dos Santos Jr., Ferna...
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...