21st International Conference on Data Engineering Workshops (ICDEW'05) Optimized Sequential Pattern Mining from Point Of Sales Data Tokyo, Japan April 05-April 08 ISBN: 0-7695-2657-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2005.257
We consider an optimization problem of sequential pattern mining. We present space efficient algorithms for computing optimized sequential pattern that maximize transitive confidence from a cause event to an effect event. Those can compute optimized sequential patterns for all cause-effect pairs of sales fluctuation events in large POS data.
Citation:
Kazumitsu Yagi, Mai Soramoto, Miho Mokuda, Yasuhiko Morimoto, "Optimized Sequential Pattern Mining from Point Of Sales Data," icdew, pp.1223, 21st International Conference on Data Engineering Workshops (ICDEW'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||