Mining h-Dimensional Enhanced Semantic Association Rule Based on Immune-Based Gene Expression Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{conf/wise/ZengTLQZDX06,
-
title = "Mining h-Dimensional Enhanced Semantic Association
Rule Based on Immune-Based Gene Expression
Programming",
-
author = "Tao Zeng and Changjie Tang and Yintian Liu and
Jiangtao Qiu and Mingfang Zhu and Shucheng Dai and
Yong Xiang",
-
booktitle = "Proceedings of the Web Information Systems Workshops,
{WISE} 2006",
-
publisher = "Springer",
-
year = "2006",
-
volume = "4256",
-
editor = "Ling Feng and Guoren Wang and Cheng Zeng and
Ruhua Huang",
-
pages = "49--60",
-
series = "Lecture Notes in Computer Science",
-
address = "Wuhan, China",
-
month = oct # " 23-26",
-
bibdate = "2006-11-28",
-
bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/wise/wise2006w.html#ZengTLQZDX06",
-
keywords = "genetic algorithms, genetic programming, Gene
Expression Programming",
-
ISBN = "3-540-47663-6",
-
DOI = "doi:10.1007/11906070_5",
-
abstract = "Rule mining is very important for data mining.
However, traditional association rule is relatively
weak in semantic representation. To address it, the
main contributions of this paper included: (1)
proposing formal concepts on h-Dimensional Enhanced
Semantic Association Rule (h-DESAR) with self-contained
logic operator; (2) proposing the h-DESAR mining method
based on Immune-based Gene Expression Programming
(ERIG); (3) presenting some novel key techniques in
ERIG. Experimental results showed that ERIG is
feasible, effective and stable.",
- }
Genetic Programming entries for
Tao Zeng
Changjie Tang
Yintian Liu
Jiangtao Qiu
Mingfang Zhu
Shucheng Dai
Yong Xiang
Citations