- Resources
- Related Research Areas
- Data Mining and Knowledge Discovery
The goal is to discover precursors to adverse events/anomalies for which data leading up to the anomaly is available. An event may be defined as any combination of observed data at a given time stamp. Thus, a time series data (possibly multidimensional) may be considered as a sequence of events. By analyzing data from nominal and adverse time series data, we aim to identify precursor events and use the precursors for forecasting the adverse events.
Discussions
Popular Resources
-
Discovery of Precursors to Adverse Events using Time Series Data
A Publication, Discovering Precursors to Adverse Events in Time Series - 8 years, 4 months ago
Shared By: Vijay Manikandan Janakiraman
We develop an algorithm for automatic discovery of precursors in time series data (ADOPT). In a time series setting, a precursor may be considered as ...
-
Identifying Precursors to Anomalies Using Inverse Reinforcement Learning
A Publication, Discovering Precursors to Adverse Events in Time Series - 8 years, 8 months ago
Shared By: Vijay Manikandan Janakiraman
In this paper, we consider the problem of discovering candidate precursors to anomalies in a set of time sequenced data. Typical scenarios involving time sequential ...
