Experimental Setup and Case Study Example

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Abstract

This chapter represents as a practical follow-up or implementation of the main components of the SPMaAF described in Chapter 5. In the experimental setup, the chapter demonstrates by using the case study of the learning process: the development and application of the semantic-based process mining. Essentially, the chapter looks at how the proposed semantic-based process mining and analysis framework (SPMaAF) is applied to answer real-time questions about any given process domain, as well as the classification of the individual process instances or elements that constitutes process models. This includes the semantic representations and modelling of the learning process in order to allow for an abstraction analysis of the resultant models. The chapter finalizes with a conceptual description of the resultant semantic fuzzy mining approach which is discussed in detail in the next chapter.

Publisher

IGI Global

Reference2 articles.

1. Okoye, K. (2016). Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data. Proceedings of 2016IEEE International Conference on Big Data(Big Data), 3529-3538.

2. A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis

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