Abstract | ||
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. Discrete event sequences have been modeled with two typesof representation: snapshots and overviews. Snapshot models describethe process as a collection of relatively short sequences. Overview modelscollect key relationships into a single structure, providing an integratedbut abstract view. This paper describes a new algorithm for constructingone type of overview model: state transition diagrams. The algorithm,called State Transition Dependency Detection (STDD), is the latest in a... |
Year | DOI | Venue |
---|---|---|
1997 | 10.1007/BFb0052872 | IDA |
Keywords | Field | DocType |
modelling discrete event sequences,state transition diagrams,state transition,state transition diagram | Computer science,State diagram,Algorithm,Synthetic data,Artificial intelligence,Event sequence,Snapshot (computer storage),Machine learning | Conference |
Volume | ISSN | ISBN |
1280 | 0302-9743 | 3-540-63346-4 |
Citations | PageRank | References |
2 | 0.55 | 9 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Adele E. Howe | 1 | 561 | 65.70 |
Gabriel Somlo | 2 | 95 | 6.95 |