SEQUEST: Mining frequent subsequences using DMA strips

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...

Full description

Bibliographic Details
Main Authors: Tan, H., Dillon, Tharam S., Hadzic, Fedja, Chang, Elizabeth
Format: Conference Paper
Published: WIT Press 2006
Subjects:
data mining
sequential strips
sequence
mining frequent subsequences
SEQUEST
DMA-strips
phylogenic tree
Online Access:http://library.witpress.com/pages/listPapers.asp?q_bid=357
http://hdl.handle.net/20.500.11937/33029

Internet

http://library.witpress.com/pages/listPapers.asp?q_bid=357
http://hdl.handle.net/20.500.11937/33029

Similar Items