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Knowledge Discovery in Data in Construction Projects

Author(s):

Medium: journal article
Language(s): English
Published in: Archives of Civil Engineering, , n. 2, v. 62
Page(s): 217-228
DOI: 10.1515/ace-2015-0076
Abstract:

Decision-making processes, including the ones related to ill-structured problems, are of considerable significance in the area of construction projects. Computer-aided inference under such conditions requires the employment of specific methods and tools (non-algorithmic ones), the best recognized and successfully used in practice represented by expert systems. The knowledge indispensable for such systems to perform inference is most frequently acquired directly from experts (through a dialogue: a domain expert - a knowledge engineer) and from various source documents. Little is known, however, about the possibility of automating knowledge acquisition in this area and as a result, in practice it is scarcely ever used. It has to be noted that in numerous areas of management more and more attention is paid to the issue of acquiring knowledge from available data. What is known and successfully employed in the practice of aiding the decision-making is the different methods and tools. The paper attempts to select methods for knowledge discovery in data and presents possible ways of representing the acquired knowledge as well as sample tools (including programming ones), allowing for the use of this knowledge in the area under consideration.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1515/ace-2015-0076.
  • About this
    data sheet
  • Reference-ID
    10476857
  • Published on:
    25/11/2020
  • Last updated on:
    25/11/2020
 
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