Faults are inevitable in a complex online service system. Compared with the textual incident
records, the knowledge graph provides an abstract and formal representation for the …

With the growing demand for data computation and communication, the size and complexity
of communication networks have grown significantly. However, due to hardware and …

In an IoT (Internet of Things) environment, event correlations may be dynamically interwoven
because events usually span over many interrelated sensors. Our previous works used …

Modern physical systems deploy large numbers of sensors to record at different time-stamps
the status of different systems components via measurements such as temperature …

In telecommunication network systems, there are a large number of interconnected
components which also contain many subcomponents. Heavy rain, thunder or other factors …

The importance of mining time lags of hidden temporal dependencies from sequential data
is highlighted in many domains including system management, stock market analysis …

Detecting regularities between complex events in temporal graphs is critical for emerging
applications. This paper proposes graph temporal association rules (GTAR). A GTAR …

Predictive maintenance aims at enabling proactive scheduling of maintenance, and thus
prevents unexpected equipment failures. Most approaches focus on predicting failures …

Detecting major system anomalies with observed multivariate time series requires not only
the characteristics of each time series but also the status of the entire time series dynamics …

Computer system monitoring generates huge amounts of logs that record the interaction of
system entities. How to query such data to better understand system behaviors and identify …