NDLI: C4.5-Based Classification Rules Mining of High-Rise Building SFIO

Content Provider	IEEE Xplore Digital Library
Author	Shihai Zhang Shujun Liu Shizhong Zhang Jinping Ou Guangyuan Wang
Copyright Year	2008
Description	Author affiliation: Dept. of Civil Eng., Nanyang Inst. of Technol., Nanyang (Shihai Zhang; Shujun Liu; Shizhong Zhang)
Abstract	Firstly, we show that the C4.5 algorithm inherits all the advantages of the ID3 algorithm, at the same time, it overcomes the defect of ID3 algorithm such as can not deal directly with continuous attributes, tend to choose more attributes when using information gain attributes to confirm the test values; we introduced the basic thought, problem solving process, the theoretical basis and classification rules extraction methods of C4.5 algorithms. Then, application of the high-rise building as the background, we used C4.5 algorithm to establish decision tree model of structural form intelligent optimization (SFIO). We extract the classification rules which could be distinguish structural form such as high-rise building structural function, height, fortification intensity etc. It provides new ways and scientific basis for the structural form optimal selection. Theory and Practice shows that C4.5 algorithm can effective mine form optimization data from the cases. This paper provides a new approach and methodology on the full use of abundant cases to address SFIO of knowledge acquisition "bottleneck".
Starting Page	467
Ending Page	472
File Size	266912
Page Count	6
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.357
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	high-rise building structure Knowledge acquisition Buildings data mining C4.5 algorithm Data mining Intelligent structures information gain ratio Databases form intelligent optimization Inference algorithms Decision trees Civil engineering Testing Classification tree analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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