Transform-based similarity methods for sequence miningPublic
Downloadable Contentopen in viewer
We investigated transform-based algorithms for performing similarity queries in sequential databases. The transform-indexing method of Agrawal, Faloutsos, and Swami (1993) was evaluated, using both Fourier and Walsh transforms to extract features. We extended the method to enable it to handle categorical data as well as different notions of distance. Analytical and experimental evaluation of these methods was performed, using financial data and simulated genetic data.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Date created
- Resource type
- Rights statement
- In Collection:
|Thumbnail||Title||Visibility||Embargo Release Date||Actions|
Permanent link to this page: https://digital.wpi.edu/show/sj1395018