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Mining Sequential Patterns from Multidimensional Sequence Data
January 2005 (vol. 17 no. 1)
pp. 136-140
ASCII Text
x 
 
Chung-Ching Yu, Yen-Liang Chen, "Mining Sequential Patterns from Multidimensional Sequence Data," IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 1, pp. 136-140, January, 2005.
 
 
BibTex
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@article{ 10.1109/TKDE.2005.13,
author = {Chung-Ching Yu and Yen-Liang Chen},
title = {Mining Sequential Patterns from Multidimensional Sequence Data},
journal ={IEEE Transactions on Knowledge and Data Engineering},
volume = {17},
number = {1},
issn = {1041-4347},
year = {2005},
pages = {136-140},
doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2005.13},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Knowledge and Data Engineering
TI - Mining Sequential Patterns from Multidimensional Sequence Data
IS - 1
SN - 1041-4347
SP136
EP140
EPD - 136-140
A1 - Chung-Ching Yu,
A1 - Yen-Liang Chen,
PY - 2005
KW - Frequent pattern
KW - sequential patterns
KW - sequence data
KW - data mining.
VL - 17
JA - IEEE Transactions on Knowledge and Data Engineering
ER -
 
The problem addressed in this paper is to discover the frequently occurred sequential patterns from databases. Although much work has been devoted to this subject, to the best of our knowledge, no previous research was able to find sequential patterns from d-dimensional sequence data, where d>2. Without such a capability, many practical data would be impossible to mine. For example, an online stock-trading site may have a customer database, where each customer may visit a Web site in a series of days; each day takes a series of sessions and each session visits a series of Web pages. Then, the data for each customer forms a 3-dimensional list, where the first dimension is days, the second is sessions, and the third is visited pages. To mine sequential patterns from this kind of sequence data, two efficient algorithms have been developed in this paper.

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Index Terms:
Frequent pattern, sequential patterns, sequence data, data mining.
Citation:
Chung-Ching Yu, Yen-Liang Chen, "Mining Sequential Patterns from Multidimensional Sequence Data," IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 1, pp. 136-140, Jan. 2005, doi:10.1109/TKDE.2005.13
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