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2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Single-Pass Algorithms for Mining Frequency Change Patterns with Limited Space in Evolving Append-Only and Dynamic Transaction Data Streams
Taipei, Taiwan
March 28-March 31
ISBN: 0-7695-2073-1
ASCII Text
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Hua-Fu Li, Suh-Yin Lee, "Single-Pass Algorithms for Mining Frequency Change Patterns with Limited Space in Evolving Append-Only and Dynamic Transaction Data Streams," e-Technology, e-Commerce, and e-Services, IEEE International Conference on, pp. 215-222, 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04), 2004.
 
 
BibTex
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@article{ 10.1109/EEE.2004.1287312,
author = {Hua-Fu Li and Suh-Yin Lee},
title = {Single-Pass Algorithms for Mining Frequency Change Patterns with Limited Space in Evolving Append-Only and Dynamic Transaction Data Streams},
journal ={e-Technology, e-Commerce, and e-Services, IEEE International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2073-1},
pages = {215-222},
doi = {http://doi.ieeecomputersociety.org/10.1109/EEE.2004.1287312},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - e-Technology, e-Commerce, and e-Services, IEEE International Conference on
TI - Single-Pass Algorithms for Mining Frequency Change Patterns with Limited Space in Evolving Append-Only and Dynamic Transaction Data Streams
SN - 0-7695-2073-1
SP215
EP222
A1 - Hua-Fu Li,
A1 - Suh-Yin Lee,
PY - 2004
KW - null
VL - 0
JA - e-Technology, e-Commerce, and e-Services, IEEE International Conference on
ER -
 
Hua-Fu Li, National Chiao-Tung University
Suh-Yin Lee, National Chiao-Tung University
In this paper, we propose an online single-pass algorithm MFC-append (Mining Frequency Change patterns in append-only data streams) for online mining frequent frequency change items in continuous append-only data streams. An online space-efficient data structure called Change-Sketch is developed for providing fast response time to compute dynamic frequency changes between data streams. A modified approach MFC-dynamic (Mining Frequency Change patterns in dynamic data streams) is also presented to mine frequency changes in dynamic data streams. The theoretic analyses show that our algorithms meet the major performance requirements of single-pass, bounded storage, and real time for streaming data mining.
Citation:
Hua-Fu Li, Suh-Yin Lee, "Single-Pass Algorithms for Mining Frequency Change Patterns with Limited Space in Evolving Append-Only and Dynamic Transaction Data Streams," eee, pp.215-222, 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04), 2004
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