Computer Science – Information Retrieval
Scientific paper
2007-09-28
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.
Marteau Pierre-François
Muhammad Fuad Muhammad Marwan
No associations
LandOfFree
The Extended Edit Distance Metric does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with The Extended Edit Distance Metric, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Extended Edit Distance Metric will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-715312