Abstract
This paper presents a uniform model for high-rise structure design information and a case base containing 1008 high-rise buildings around the world. A case management system has been implemented with functions of data recording, modification, deletion, inquiry, statistical analysis and knowledge discovery. We propose a data-mining process of mining quantitative association rules for structure form selection from the case base and a method for mining fuzzy association rules. In the fuzzy association rule mining, we present a method for fuzzy interval division and fuzzification of quantitative attributes of the real cases. We demonstrate the application of the Apriori algorithm to generate association rules that can be used in building design. This data mining approach provides a new technical support for design efficiency, quality and intelligence.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Maher, M.L., Fenves, S.J.: HI-RISE: An expert system for the preliminary structure design of high rise buildings. In: Gero, S. (ed.) Knowledge engineering in computer-aided design[M], pp. 125–146. Elsevier Science Publishers, North-Holland, Amsterdam (1985)
Bailey, S.F., Smith, I.F.C.: Case-based preliminary building design. J. Computing in Civ.Engrg[J], ASCE 8(4), 454–468 (1994)
Soibelman, L.: The exploration of an integrated representation for the conceptual design phase of structural design for tall buildings through distributed multi-reasoning algorithms[D]. PhD thesis, Massachusetts Institute of Technology, Cambridge, Mass (1998)
Soibelman, L., Pena-Mora, F.: Distributed Multi-Reasoning Mechanism to Support Conceptual Structural Design. Journal of Structural Engineering [J] 126(6), 733–742 (2000)
Lu, W., Yang, J.: Anti-seismic Expert System Primary Designing of Multi High-rise RC House [J]. Engineering Mechanics 8(4), 80–87 (1991)
He, G., Lin, S., et al.: High-rise structure primary design experts system. [A], Key project of NSFC (The research and applications of intelligent aided decision system in engineering construction)[R] 11 (1991)
Lai, M., Yang, B.: Anti-seismic Form Selection and Fuzzy Synthesis Evaluation of High-rise RC Structure [J]. Journal of Building Structures 17(8), 44–51 (1996)
Ou, J., Zhang, S., et al.: Anti-seismic Form Selection and Fuzzy Expert System of High-rise RC Structure[J]. Earthquake Engineering and Engineering Vibration 17(2), 82–91 (1997)
Liu, X., Li, C.: System Selection Based on NN [J]. Journal of Building Structures 20(5), 36–41 (1999)
Zhang, S., Wang, G., Ou, J.: Intelligent evaluation of high-rise structure aseismatic form selection. World seism engineering[J] 18(3), 161–167 (2002)
Zhang, S., Liu, X., Ou, J., Wang, G.: Intelligent optimal selection of high-rise basic aseismatic form selection. Seism engineering and engineering vibration[J] 22(3), 28–35 (2002)
Zhang, S., Ou, J., Wang, G., Liu, S.: Data Mining and Its Applications for High-rise Structure Intelligent Form-optimization Based on Genetic Algorithm. In: IEEE The 6th World Congress on Intelligent Control and Automation(WCICA 2006) Conference Proceedings, vol. 11(12), pp. 8779–8784 (2006)
Wang, G., Lv, D., Zhang, S.: Some key problems of structure form selection. Journal of Haerbin architecture university [J] 33(1), 1–7 (2000)
Fayyad, U.M., Shapiro, G.P.: Advances in Knowledge Discovery and Data Mining [M]. MA: AAAI/MIT Press (1996)
Zhao, X.: Modern high-rise building structure design, vol. 1[M]. Science press (2000)
High-rise building structure utility design method (third version) [M]. pp. 10–17, 35-42. Tongji university press (1998)
Yuan, C.: High-rise building structure design [M], pp. 83–91. Heilongjiang science and technology press (2000)
Shen, G., Chen, C., Liu, B., et al.: Structure design of high-rise building in the 1980s [M]. Shanghai science popularization press (1994)
Chen, Y.: building structure design omnibus (China, Japan) [M]. China architecture industry press (2001)
Cui, H., Zhou, W.: High-rise building structure design examples [M]. China architecture industry press (1989)
Wu, J.: High-rise building design [M]. pp. 39–40, 49–50. China architecture industry press (1987)
Building structure excellent design drawing collection edit committee. Building structure excellent design drawing collection 1,2 [M]. China architecture industry press (1999)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, S., Liu, S., Ou, J. (2007). Data Mining for Intelligent Structure Form Selection Based on Association Rules from a High Rise Case Base. In: Washio, T., et al. Emerging Technologies in Knowledge Discovery and Data Mining. PAKDD 2007. Lecture Notes in Computer Science(), vol 4819. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77018-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-77018-3_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77016-9
Online ISBN: 978-3-540-77018-3
eBook Packages: Computer ScienceComputer Science (R0)