Title :
Notice of Retraction
DM method of improved ID3-based for high-rise structure intelligent form selection
Author :
Wang Changyong ; Zhang Shizhong ; Zhang Shihai
Author_Institution :
Dept. of Civil Eng., Nan Yang Inst. of Technol., Nan Yang, 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.
Firstly, the reason of the establishment high-rise construction structural form selection(SFS) DM method is given; and the DM commonly used method and the solution process is given.Secondly, according to the SFS characteristic, the termination condition of ID3 is improved; based on this improved algorithm, the assorted rule of structural intelligent pattern optimization(SIFS) is established; using information gain, the optimizing decision tree is given; and the corresponding DM system is developed. Finally, the DM example is given. It is shown that the improved ID3 can exploit cryptic SFS knowledge from construction cases effectively; it has significant meaning for utilizing abundant case resources fully,improving the quality and efficiency of high-rise SIFS design, and offering a new approach for solving the SIFS problem of "bottlenect".
Keywords :
construction industry; data mining; decision trees; design; optimisation; structural engineering computing; decision tree optimization; high rise SIFS design; high rise construction structural form selection DM method; high rise structure intelligent form selection; improved ID3; structural intelligent pattern optimization; Cryptography; Data mining; Decision trees; Delta modulation; IEEE Computer Society; Intelligent systems; ID3 algorithm; data mining; high-rise structure; information gain; intelligent pattern optimization;
Conference_Titel :
Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on
Conference_Location :
Lushan
Print_ISBN :
978-1-4577-0289-1
DOI :
10.1109/ICETCE.2011.5776093