Title :
Notice of Retraction
Finding k-dominant skyline in dynamic data set
Author :
Xiao-wei Cui ; Lei-gang Dong ; Hong Zou ; Xiang-ming An
Author_Institution :
Dept. of Comput. Sci. & Inf. Technol., DaQing Normal Univ., DaQing, China
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.
K-dominant skyline query can get fewer skyline points in dealing with high dimension data set, and this query is very useful to help user make decision. But the existent algorithms are all designed for static data set, and invalid for dynamic data set. To solve above problem, an relevant algorithm for data set change is proposed in this paper, which is that when the data set changes, the new k-dominant skyline is got by testing part points based on existent k-dominant skyline. The correct and efficiency of algorithm are proved, and the algorithm is also analyzed and verified by experiment.
Keywords :
data analysis; decision making; query processing; decision making; dynamic data set; k-dominant skyline query; static data set; Algorithm design and analysis; Educational institutions; Heuristic algorithms; Indexes; Nearest neighbor searches; Runtime; Security; dynamic data set; high dimension; k-dominant skyline query;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022271