Sentence examples for frequent sequences for from inspiring English sources

Consequently, it is possible to generate rules directly without scanning all frequent sequences for prefix checking.

The number of cytosines in the 7-bp tract varied from 6 to 13 and the most frequent sequences for the D310 region are C7TC6, C8TC6 and C9TC6.

A consensus sequence (the most frequent sequence) for each conserved sequence in the alignments was generated for each of the 6 subgroups.

To assess IRES sequence conservation across HCV isolates, nucleotide sequences of 45 clones from 9 HCV subjects were determined (and the most frequent sequence for the clones that belongs to each subject was selected) and the sequences that constitute the target domains for S-ODN1 and S-ODN2 were aligned using multiple sequence alignment programs ClustalW.

A sequence mining algorithm can extract frequent sequences from a corpus.

Numbers of low frequency single nt mismatch sequences for the 20 most frequent sequences in each sequencing cohort were tallied for each cutoff value.

In this paper we present a novel approach for mining frequent sequences, called Prism.

Via an extensive evaluation on both synthetic and real datasets, we show that Prism outperforms popular sequence mining methods like SPADE [M.J. Zaki, SPADE: An efficient algorithm for mining frequent sequences, Mach. Learn. J. 42 (1/2) (Jan/Feb 2001) 31 60], PrefixSpan [J. Pei, J. Han, B. Mortazavi-Asl, H. Pinto, Q. Chen, U. Dayal, M.-C.

In this paper, we study the problem of designing a differentially private algorithm for mining maximal frequent sequences, which can not only achieve high data utility and a high degree of privacy, but also provide high time efficiency.

The study in [18] has proposed a method for generating a complete set of sequential rules from frequent sequences and removing redundant rules in the post-mining phase.

For example, Fig. 1 shows the prefix-tree of frequent sequences.