Similarities among subsequences are typically regarded as categorical features of sequential data. We introduce an algorithm for capturing the relationships among similar, contiguous subsequences.â€¦ (More)

Clustering of time series subsequence data commonly produces results that are unspecific to the data set. This paper introduces a clustering algorithm, that creates clusters exclusively from thoseâ€¦ (More)

Traditionally sequence motifs and domains, also called signatures, are defined such that insertions, deletions and mismatched regions are small compared with matched regions. We introduce anâ€¦ (More)

Typically, sequence signatures, such as motifs and domains, are assumed to be localized in one region of a sequence or are derived as combinations of the former. We generalize the concept of sequenceâ€¦ (More)

An algorithm is presented for finding patterns between sets of continuous attributes and item sets. In contrast to most pattern mining approaches, the algorithm considers multiple continuousâ€¦ (More)

A clustering algorithm is introduced that combines the strengths of clustering and motif finding techniques. Clusters are identified based on unambiguously defined sequence sections as in motifâ€¦ (More)

Traditionally sequence motifs and domains are defined such that insertions, deletions and mismatched regions are small compared with matched regions. We introduce an algorithm for the identificationâ€¦ (More)