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20th International Conference on Data Engineering (ICDE'04)
Boston, Massachusetts
March 30-April 02
ISBN: 0-7695-2065-0
ASCII Text
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Chulyun Kim, Jong-Hwa Lim, Raymond Ng, Kyuseok Shim, "SQUIRE: Sequential Pattern Mining with Quantities," Data Engineering, International Conference on, pp. 827, 20th International Conference on Data Engineering (ICDE'04), 2004.
 
 
BibTex
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@article{ 10.1109/ICDE.2004.1320058,
author = {Chulyun Kim and Jong-Hwa Lim and Raymond Ng and Kyuseok Shim},
title = {SQUIRE: Sequential Pattern Mining with Quantities},
journal ={Data Engineering, International Conference on},
volume = {0},
year = {2004},
issn = {1063-6382},
pages = {827},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2004.1320058},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Engineering, International Conference on
TI - SQUIRE: Sequential Pattern Mining with Quantities
SN - 1063-6382
SP
EP
A1 - Chulyun Kim,
A1 - Jong-Hwa Lim,
A1 - Raymond Ng,
A1 - Kyuseok Shim,
PY - 2004
KW - null
VL - 0
JA - Data Engineering, International Conference on
ER -
 
Chulyun Kim, Seoul Nat'l Univ.
Jong-Hwa Lim, KAIST
Raymond Ng, Univ. of British Columbia
Kyuseok Shim, Seoul Nat'l Univ.
In this paper, we consider the problem of mining sequential patterns with quantities. Naive extensions to existing algorithms for sequential patterns are inefficient, as they may enumerate the search space blindly. To alleviate the situation, we propose hash filtering and quantity sampling techniques that significantly improve the performance of the naive extensions.
Citation:
Chulyun Kim, Jong-Hwa Lim, Raymond Ng, Kyuseok Shim, "SQUIRE: Sequential Pattern Mining with Quantities," icde, pp.827, 20th International Conference on Data Engineering (ICDE'04), 2004
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