We find that the interval sequence representation and randomization methods provide a powerful way to explore interval sequences and explain their structure.
Abstract. Sequences of events are an ubiquitous form of data. In this paper, we show that it is feasible to present an event sequence as an interval ...
It is shown that it is feasible to present an event sequence as an interval sequence, and how sequences can be efficiently randomized, how to choose a ...
We show how sequences can be efficiently randomized, how to choose a correct null model and how to use randomizations to derive confidence intervals. Using ...
Gaining insight into structures and properties in data is a central problem in data mining and knowledge discovery. This is essential when the data is to be ...
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We find that the interval sequence representation and randomization methods provide a powerful way to explore interval sequences and explain their structure.
In the problem of online unweighted interval selection, the objective is to maximize the num- ber of non-conflicting intervals accepted by the algorithm. In the ...
Aug 4, 2024 · ... randomized algorithms. We study this problem in the random-order model, where the adversary chooses the instance, but the online sequence is ...
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Mar 24, 2022 · We can apply the randomisation method to generating confidence intervals around some parameter value by resampling data with replacement. Recall ...
In this paper we study the per- formance analysis of the interval algorithm in an extended case where coin random sequences are from the stationary. Markov ...