Description
Title: EXTRACTING A CLASS DIAGRAM FROM DATA SETS’ HIDDEN DEPENDENCIES
Abstract: A conceptual model is a high-level graphical representation of a particular domain that highlights its central ideas and the connections between them. These dependencies can be deduced, in particular, from examples of concepts that are present in big raw data sets. The purpose of this paper is to suggest a technique for building conceptual models out of data frames contained in data les. Using a class diagram, the outcome is displayed. A case study that processes actual data sets serves as verification for the method after it has been explained with a number of examples. It may also be used to evaluate the caliber of a data set.
Keywords: conceptual model, class diagram, UML, data retrieval, raw data, csv
Paper Quality: SCOPUS / Web of Science Level Research Paper
Paper type: Analysis Based Research Paper
Subject: Computer Science
Writer Experience: 20+ Years
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