DocumentCode
554175
Title
Notice of Retraction
Research of fractal dimension calculation algorithm based on Mobile Box-Counting Method
Author
Feng-gang Li ; Wei-feng Gong ; Ying Li ; Yu Liang ; Xiao-lu Wang
Author_Institution
Key Lab. of Process Optimization & Intell. Decision-making, Hefei Univ. of Technol., Hefei, China
Volume
3
fYear
2011
fDate
26-28 July 2011
Firstpage
1398
Lastpage
1402
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.
Fractal data mining technology is based on the fractal characteristic of data set, the real data set usually exists approximate fractal characteristic in the fractal non-scaling interval. Fractal dimension can describe the fractal characteristic of data sets, but the most popular fractal dimension calculation algorithm gets the minimal cover set using Box-Counting method is inaccurate. Mobile Box-Counting Method which finds the minimal cover set more accurately by moving and merging multi-dimensional grid can calculate fractal dimension more accurately.
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.
Fractal data mining technology is based on the fractal characteristic of data set, the real data set usually exists approximate fractal characteristic in the fractal non-scaling interval. Fractal dimension can describe the fractal characteristic of data sets, but the most popular fractal dimension calculation algorithm gets the minimal cover set using Box-Counting method is inaccurate. Mobile Box-Counting Method which finds the minimal cover set more accurately by moving and merging multi-dimensional grid can calculate fractal dimension more accurately.
Keywords
data mining; fractals; data set; fractal data mining technology; fractal dimension calculation algorithm; fractal nonscaling interval; minimal cover set; mobile box-counting method; multidimensional grid; Accuracy; Clustering algorithms; Corporate acquisitions; Data mining; Fitting; Fractals; Mobile communication; box-counting; fractal dimension; fractal non-scaling interval;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022516
Filename
6022516
Link To Document