Marlon Núñez

Learn More
In the process of concept learning, target concepts may have portions with short-term changes, other portions may support long-term changes, and yet others may not change at all. For this reason several local windows need to be handled. We suggest facing this problem, which naturally exists in the field of concept learning, by allocating windows which can(More)
—In order to discover behavior patterns, current algorithms only analyze historical data in terms of performance data or fault events, ignoring the temporal correlation among different types of information, including the configuration changes. A method is presented that can discover recurrent patterns from multiple flows of events, such as alarms and(More)
In addition to current architecture levels (deliberative, executive and reactive), a new level is emerging due to recent advances in temporal patterns discovery. This new architecture level, the preventative level, prepares the whole system for predicted problems with the purpose of reducing potential risks. The performance of execution tasks, as well as(More)
  • 1