caa a22 4500 475823001 CHVBK 20180406123823.0 cr unu---uuuuu 170329e20001201xx s 000 0 eng 10.1007/s003660070009 doi (NATIONALLICENCE)springer-10.1007/s003660070009 A Knowledge Discovery Framework for Civil Infrastructure: A Case Study of the Intelligent Workplace [Elektronische Daten] [R. Buchheit, J. Garrett Jr, S. Lee, R. Brahme] Large databases are becoming increasingly common in civil infrastructure applications. Although it is relatively simple to specifically query these databases at a low level, more abstract questions like ‘How does the environment affect pavement cracking?' are difficult to answer with traditional methods. Data mining techniques can provide a solution for learning abstract knowledge from civil infrastruc-ture databases. However, data mining needs to be performed within a systematic process to ensure correct and reproducible results. Many decisions must be made during this process, making it difficult for novice analysts to apply data mining techniques thoroughly. This paper presents an application of a knowledge discovery process to data collected for an ‘intelligent' building. The knowledge discovery process is illustrated and explained through this case study. Additionally, we discuss the importance of this case study in the context of a research effort to develop an interactive guide for the knowledge discovery process. Springer-Verlag London Limited, 2000 Keywords:Data mining nationallicence Intelligent buildings nationallicence Knowledge discovery in databases nationallicence Buchheit R. Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA, USA, USA aut Garrett Jr J. Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA, USA, USA aut Lee S. Department of Architecture, Carnegie Mellon University, Pittsburgh, PA, USA, USA aut Brahme R. Department of Architecture, Carnegie Mellon University, Pittsburgh, PA, USA, USA aut Engineering with Computers Springer-Verlag 16/3-4(2000-12-01), 264-274 0177-0667 16:3-4<264 2000 16 366 https://doi.org/10.1007/s003660070009 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s003660070009 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Buchheit R. Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA, USA, USA aut NATIONALLICENCE 700 1- Garrett Jr J. Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA, USA, USA aut NATIONALLICENCE 700 1- Lee S. Department of Architecture, Carnegie Mellon University, Pittsburgh, PA, USA, USA aut NATIONALLICENCE 700 1- Brahme R. Department of Architecture, Carnegie Mellon University, Pittsburgh, PA, USA, USA aut NATIONALLICENCE 773 0- Engineering with Computers Springer-Verlag 16/3-4(2000-12-01), 264-274 0177-0667 16:3-4<264 2000 16 366 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer