Text and Data Mining Techniques in Aspect of Knowledge Acquisition for Decision Support System in Construction Industry
Text and Data Mining Techniques in Aspect of Knowledge Acquisition for Decision Support System in Construction Industry

Summary/Abstract: This article presents the possibilities of using mining techniques in building Decision Support Systems. One of the biggest problems is the issue of gaining data and knowledge, their mutual representation and reciprocal usage. Data and knowledge make up the resources of the system and are its key link. It has been estimated that 70% to 80% of the sources available for general use are text documents. The text mining technique is defined as a process aiming to extract previously unknown information from text resources (e.g. technological cards). The fundamental feature of text mining is the ability to converse text documents in formal form, which opens up great possibilities of conducting further analysis. This article presents chosen IT tools using text mining technique, along with the elements of the text mining analysis. The main objectives are the simplification of the process of knowledge acquisition, its automation and shortening as well as the creation of ready-made models containing knowledge. Previous tests with knowledge acquisition (surveys, questionnaires) were time-consuming and exacting for experts.

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