DocumentCode
1952021
Title
Notice of Retraction
P-sets and integrated Knowledge generated -filtration
Author
Yang Wang ; Fei Zhang ; Kaiquan Shi
Author_Institution
Dept. of Comput. Sci., Huanghuai Univ., Zhumadian, China
Volume
4
fYear
2010
fDate
9-11 July 2010
Firstpage
651
Lastpage
654
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
P-sets are composed of internal P-sets and outer P-sets. The P-sets structure is given in this paper, and P-sets have dynamic characteristics. By using P-sets, integration knowledge and its Generation, as well as the applications of integrated Knowledge in dynamic knowledge discovery are given.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
P-sets are composed of internal P-sets and outer P-sets. The P-sets structure is given in this paper, and P-sets have dynamic characteristics. By using P-sets, integration knowledge and its Generation, as well as the applications of integrated Knowledge in dynamic knowledge discovery are given.
Keywords
data mining; set theory; P-sets; integrated knowledge generated -filtration; knowledge discovery; Generated; filtration; integrated knowledge;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564732
Filename
5564732
Link To Document