An efficient algorithm called IEMiner is designed to discover frequent temporal patterns from interval-based events. The algorithm employs two optimization ...
Jun 12, 2008 · Existing temporal pattern mining assumes that events do not have any duration. However, events in many real world.
#classification · #mining · Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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In this work, we analyze the preliminaries of event temporal semantics. A tree-plan model of interval-based out-of-order events is proposed. A hybrid solution ...
We incorporate the concept of utility into interval-based sequences and define a framework to mine high utility patterns in interval-based sequences.
In this work we introduce the recent temporal pattern mining framework for finding predictive patterns for monitoring and event detection problems in complex ...
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In terms of novel pattern mining algorithms, we made the following contributions: • We examined the problem of mining relationships among interval-based events.
Since the feature of time interval is quite different from time point, the pairwise relationships between any two time interval-based events are ...
Sep 14, 2020 · We study the problem of classifying interval-based tempo- ral sequences (IBTSs). Since common classification algorithms cannot be directly ...
We introduce two distance measures for comparing sequences of interval-based events which can be used for several data mining tasks such as classification and ...