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SEQUENCE PREDICTION APPLIED TO BIM LOG DATA, AN APPROACH TO DEVELOP A COMMAND RECOMMENDER SYSTEM FOR BIM SOFTWARE APPLICATION by Ashcan Radial thesis submitted to the faculty of The University of
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Semantic data mining is a method to extract meaningful information from large datasets by using semantic web technologies to enhance the mining process.
Any company or organization that wants to analyze their data using semantic web technologies may be required to file semantic data mining.
To fill out semantic data mining, you would need to use tools that can extract and analyze data using semantic web technologies.
The purpose of semantic data mining is to uncover hidden patterns, relationships, and insights in data that may not be easily apparent through traditional data mining techniques.
The information reported on semantic data mining may include data sources, extraction methods, relationships between data entities, and any insights gained from the analysis.
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