This paper describes a fully automatic twostage machine learning architecture that learns temporal relations between pairs of events. The first stage learns the temporal attribut...
Few attempts have been made to investigate the utility of temporal reasoning within machine learning frameworks for temporal relation classification between events in news articl...
In this paper, we describe EventNet, a toolkit for inferring temporal relations between Commonsense events. It comprises 10,000 nodes and 30,000 temporal links mined from the Openm...
Abstract: This paper presents a data model for cyclic geographic events useful for nextgeneration geographic information system design. The paper introduces a structure that captur...
Lately, many approaches have been developed to discover computer abuse. Some of them use data mining techniques to discover anomalous behavior in audit trail, considering this beh...