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Authors
Advisor(s)
Abstract(s)
Sequence mining combines the discovery of frequent itemsets and
the order they appear in. Most of the sequence pattern discovery techniques
present some handicaps like the generation of a huge number of rules and the
lack of scalability. In this work the proposed algorithm concerns the analysis of
the whole rather than the parts, thus providing a holistic view of the sequences.
The algorithm analyzes event logs and allows a non-expert user to understand
the sequences using a poly-tree visualization. The scalability associated with
condensed data structures, which shrink the data without losing information,
allows dealing with the Big Data challenge. Ramex was implemented in
different scenarios.
Description
Keywords
Pervasive business intelligence Sequence mining Poly-trees
Citation
Publisher
Springer