23 citations · 54 across the 9 of their papers we have counts for
3 papers · 1 filter
Temporal data mining for root-cause analysis of machine faults in automotive assembly lines
Srivatsan Laxman, Basel Shadid, P. S. Sastry +1
Engine assembly is a complex and heavily automated distributed-control process, with large amounts of faults data logged everyday. We describe an application of temporal data minin…
Inferring Dynamic Bayesian Networks using Frequent Episode Mining
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan
Motivation: Several different threads of research have been proposed for modeling and mining temporal data. On the one hand, approaches such as dynamic Bayesian networks (DBNs) pro…
Discovering general partial orders in event streams
Avinash Achar, Srivatsan Laxman, Raajay Viswanathan +1
Frequent episode discovery is a popular framework for pattern discovery in event streams. An episode is a partially ordered set of nodes with each node associated with an event typ…