SEQUEST: Mining frequent subsequences using DMA strips
Sequential patterns exist in data such as DNA string databases, occurrences of recurrent illness, etc. In this study, we present an algorithm, SEQUEST, to mine frequent subsequences from sequential patterns. The challenges of mining a very large database of sequences is computationally expensive and...
| Main Authors: | Tan, H., Dillon, Tharam S., Hadzic, Fedja, Chang, Elizabeth |
|---|---|
| Format: | Conference Paper |
| Published: |
WIT Press
2006
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| Subjects: | |
| Online Access: | http://library.witpress.com/pages/listPapers.asp?q_bid=357 http://hdl.handle.net/20.500.11937/33029 |
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