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Mining, compressing and classifying with extensible motifs
Authors:Alberto Apostolico  Matteo Comin  Laxmi Parida
Institution:Dipartimento di Ingegneria dell'lnformazione, Università di Padova, Padova, Italy. axa@dei.unipd.it
Abstract:

Background  

Motif patterns of maximal saturation emerged originally in contexts of pattern discovery in biomolecular sequences and have recently proven a valuable notion also in the design of data compression schemes. Informally, a motif is a string of intermittently solid and wild characters that recurs more or less frequently in an input sequence or family of sequences. Motif discovery techniques and tools tend to be computationally imposing, however, special classes of "rigid" motifs have been identified of which the discovery is affordable in low polynomial time.
Keywords:
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