Today, event logs contain vast amounts of data that can easily overwhelm a human. Therefore, the mining of frequent patterns from event logs is an important system and network management task. This paper discusses the properties of event log data, analyses the suitability of popular mining algorithms for processing event log data, and proposes an efficient algorithm for mining frequent patterns...

Intelligent reservoir characterization using seismic attributes and hydraulic flow units has a vital role in the description of oil and gas traps. The predicted model allows an accurate understanding of the reservoir quality, especially at the un-cored well location. This study was conducted in two major steps. In the first step, the survey compared different intelligent techniques to discover ...

This paper deals with the problem of analyzing application event logs in relevance to dependability evaluation. We present the significance of application logs as a valuable source of information on operational profiles, anomalies and errors. They can enhance classical approaches based on monitoring system logs and performance variables. Keywords; event monitoring, operational profiles, anomalies

1. Studies addressing the immediate impacts of fire on forest arthropod communities and their implications for conservation are few, particularly for species within dead wood. To investigate the effects of fire on saproxylic beetles (Coleoptera), we randomly assigned large-diameter loblolly pine (Pinus taeda L.) logs to a forest scheduled for a prescribed burn (i.e. a low-intensity surface fire...

BACKGROUND While actigraphy has been deemed ideal for the longitudinal assessment of total sleep time (TST) by select groups, endorsement has not been universal and reimbursement is lacking, preventing its widespread use in clinical practice. This study compares longitudinal TST data obtained by actigraphy and logs preceding a clinical evaluation, and secondarily ascertains whether longitudinal...