ScienceGate
Advanced Search
Author Search
Journal Finder
Blog
Sign in / Sign up
ScienceGate
Search
Author Search
Journal Finder
Blog
Sign in / Sign up
Maintaining only frequent itemsets to mine approximate frequent itemsets over online data streams
2009 IEEE Symposium on Computational Intelligence and Data Mining
◽
10.1109/cidm.2009.4938675
◽
2009
◽
Cited By ~ 1
Author(s):
Yongyan Wang
◽
Kun Li
◽
Hongan Wang
Keyword(s):
Data Streams
◽
Frequent Itemsets
◽
Online Data
Download Full-text
Related Documents
Cited By
References
Efficient Maintenance and Mining of Frequent Itemsets over Online Data Streams with a Sliding Window
2006 IEEE International Conference on Systems, Man and Cybernetics
◽
10.1109/icsmc.2006.385267
◽
2006
◽
Cited By ~ 9
Author(s):
Hua-Fu Li
◽
Chin-Chuan Ho
◽
Man-Kwan Shan
◽
Suh-Yin Lee
Keyword(s):
Data Streams
◽
Sliding Window
◽
Frequent Itemsets
◽
Online Data
Download Full-text
Finding frequent itemsets over online data streams
Information and Software Technology
◽
10.1016/j.infsof.2005.06.004
◽
2006
◽
Vol 48
(7)
◽
pp. 606-618
◽
Cited By ~ 10
Author(s):
Joong Hyuk Chang
◽
Won Suk Lee
Keyword(s):
Data Streams
◽
Frequent Itemsets
◽
Online Data
Download Full-text
Finding Maximal Frequent Itemsets over Online Data Streams Adaptively
Fifth IEEE International Conference on Data Mining (ICDM'05)
◽
10.1109/icdm.2005.68
◽
2006
◽
Cited By ~ 5
Author(s):
Daesu Lee
◽
Wonsuk Lee
Keyword(s):
Data Streams
◽
Frequent Itemsets
◽
Online Data
◽
Maximal Frequent Itemsets
Download Full-text
Finding recent frequent itemsets adaptively over online data streams
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03
◽
10.1145/956750.956807
◽
2003
◽
Cited By ~ 116
Author(s):
Joong Hyuk Chang
◽
Won Suk Lee
Keyword(s):
Data Streams
◽
Frequent Itemsets
◽
Online Data
Download Full-text
estMax: Tracing Maximal Frequent Itemsets over Online Data Streams
Seventh IEEE International Conference on Data Mining (ICDM 2007)
◽
10.1109/icdm.2007.70
◽
2007
◽
Cited By ~ 14
Author(s):
Ho Jin Woo
◽
Won Suk Lee
Keyword(s):
Data Streams
◽
Frequent Itemsets
◽
Online Data
◽
Maximal Frequent Itemsets
Download Full-text
CP-tree: An adaptive synopsis structure for compressing frequent itemsets over online data streams
Information Sciences
◽
10.1016/j.ins.2014.03.074
◽
2014
◽
Vol 278
◽
pp. 559-576
◽
Cited By ~ 13
Author(s):
Se Jung Shin
◽
Dae Su Lee
◽
Won Suk Lee
Keyword(s):
Data Streams
◽
Frequent Itemsets
◽
Online Data
Download Full-text
Mining Frequent Itemsets from Online Data Streams: Comparative Study
International Journal of Advanced Computer Science and Applications
◽
10.14569/ijacsa.2013.040717
◽
2013
◽
Vol 4
(7)
◽
Author(s):
HebaTallah Mohamed
◽
Ahmed Sharaf
◽
Mohamed Abd
Keyword(s):
Comparative Study
◽
Data Streams
◽
Frequent Itemsets
◽
Online Data
◽
Mining Frequent Itemsets
Download Full-text
Using hashing and lexicographic order for Frequent Itemsets Mining on data streams
Journal of Parallel and Distributed Computing
◽
10.1016/j.jpdc.2018.11.002
◽
2019
◽
Vol 125
◽
pp. 58-71
◽
Cited By ~ 3
Author(s):
Lázaro Bustio-Martínez
◽
Martín Letras-Luna
◽
René Cumplido
◽
Raudel Hernández-León
◽
Claudia Feregrino-Uribe
◽
...
Keyword(s):
Data Streams
◽
Lexicographic Order
◽
Frequent Itemsets
◽
Frequent Itemsets Mining
Download Full-text
Approximate mining of global closed frequent itemsets over data streams
Journal of the Franklin Institute
◽
10.1016/j.jfranklin.2011.04.006
◽
2011
◽
Vol 348
(6)
◽
pp. 1052-1081
◽
Cited By ~ 1
Author(s):
Lichao Guo
◽
Hongye Su
◽
Yu Qu
Keyword(s):
Data Streams
◽
Frequent Itemsets
◽
Closed Frequent Itemsets
Download Full-text
Concept Shift Detection for Frequent Itemsets from Sliding Windows over Data Streams
Database Systems for Advanced Applications - Lecture Notes in Computer Science
◽
10.1007/978-3-642-04205-8_28
◽
2009
◽
pp. 334-348
◽
Cited By ~ 7
Author(s):
Jia-Ling Koh
◽
Ching-Yi Lin
Keyword(s):
Data Streams
◽
Frequent Itemsets
◽
Sliding Windows
◽
Shift Detection
◽
Concept Shift
Download Full-text
Sign in / Sign up
Close
Export Citation Format
Close
Share Document
Close