The Extended Edit Distance Metric

Details The Extended Edit Distance Metric The Extended Edit Distance Metric

2007-09-28

arxiv.org/abs/0709.4669v1

Content-Based Multimedia Indexing, CBMI 2008, london : United Kingdom (2008)

Computer Science

Information Retrieval

Technical report

Scientific paper

10.1109/CBMI.2008.4564953

Similarity search is an important problem in information retrieval. This similarity is based on a distance. Symbolic representation of time series has attracted many researchers recently, since it reduces the dimensionality of these high dimensional data objects. We propose a new distance metric that is applied to symbolic data objects and we test it on time series data bases in a classification task. We compare it to other distances that are well known in the literature for symbolic data objects. We also prove, mathematically, that our distance is metric.

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