Mining First-Order Temporal Interval Patterns with Regular Expression Constraints.

Autor: Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Song, Il Yeal, Eder, Johann, Nguyen, Tho Manh, de Amo, Sandra, Giacometti, Arnaud
Zdroj: Data Warehousing & Knowledge Discovery (9783540745525); 2007, p459-469, 11p
Abstrakt: Most methods for temporal pattern mining assume that time is represented by points in a straight line starting at some initial instant. In this paper, we consider a new kind of first order temporal pattern, specified in Allen's Temporal Interval Logic, where time is explicitly represented by intervals. We present the algorithm MILPRIT for mining temporal interval patterns, which uses variants of the classical level-wise search algorithms. MILPRIT allows a broad spectrum of constraints over temporal patterns to be incorporated in the mining process. Some experimental results over synthetic and real data are presented. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index