| 2009 |
|---|
| 8 | EE | Avinash Achar,
Srivatsan Laxman,
V. Raajay,
P. S. Sastry:
Discovering general partial orders in event streams
CoRR abs/0902.1227: (2009) |
| 7 | EE | Debprakash Patnaik,
Srivatsan Laxman,
Naren Ramakrishnan:
Inferring Dynamic Bayesian Networks using Frequent Episode Mining
CoRR abs/0904.2160: (2009) |
| 6 | EE | Srivatsan Laxman,
Basel Shadid,
P. S. Sastry,
K. P. Unnikrishnan:
Temporal data mining for root-cause analysis of machine faults in automotive assembly lines
CoRR abs/0904.4608: (2009) |
| 2008 |
|---|
| 5 | EE | Srivatsan Laxman,
Vikram Tankasali,
Ryen W. White:
Stream prediction using a generative model based on frequent episodes in event sequences.
KDD 2008: 453-461 |
| 2007 |
|---|
| 4 | EE | Srivatsan Laxman,
Prasad Naldurg,
Raja Sripada,
Ramarathnam Venkatesan:
Connections between Mining Frequent Itemsets and Learning Generative Models.
ICDM 2007: 571-576 |
| 3 | EE | Srivatsan Laxman,
P. S. Sastry,
K. P. Unnikrishnan:
A fast algorithm for finding frequent episodes in event streams.
KDD 2007: 410-419 |
| 2 | EE | Srivatsan Laxman,
P. S. Sastry,
K. P. Unnikrishnan:
Discovering Frequent Generalized Episodes When Events Persist for Different Durations.
IEEE Trans. Knowl. Data Eng. 19(9): 1188-1201 (2007) |
| 2005 |
|---|
| 1 | EE | Srivatsan Laxman,
P. S. Sastry,
K. P. Unnikrishnan:
Discovering Frequent Episodes and Learning Hidden Markov Models: A Formal Connection.
IEEE Trans. Knowl. Data Eng. 17(11): 1505-1517 (2005) |
