Sep 27, 2020 · The task of sequential pattern mining corresponds to the task of extracting frequent (sub-)sequences (non-contiguous or contiguous) from SDB.
The solution we propose is based on closed frequent sequence extraction and only concentrates on hyperlinks organized in “Web lists”, which are logical lists ...
This allows us to: i) automatically generate a sitemap on the basis of possible navigation paths, ii) compare the generated sitemaps with either the sitemap ...
This allows us to: i) automatically generate a sitemap on the basis of possible navigation paths, ii) compare the generated sitemaps with either the sitemap ...
We propose a new method, called closed multidimensional sequential pattern mining, for mining multidimensional sequential patterns.
A novel approach is proposed for extracting closed sequential patterns which can be applied to fields that prefer complete and concise number patterns for ...
By exploring novel global optimization techniques, an efficient algorithm, called CloSpan (Closed Sequential pattern mining) is developed, which outperforms the ...
To efficiently mine long sequences, closed sequential pattern mining algorithms have been developed. These algorithms mine closed sequential patterns which don' ...
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Oct 15, 2024 · Sequential Pattern Mining (SPM) is a vital area of data mining focused on uncovering meaningful patterns and subsequences within sequential ...
In this paper, we propose a novel algorithm, fast utility-driven contiguous sequential pattern mining (FUCPM), to address the CSPM problem. FUCPM adopts a ...