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Process mining literature review

A public 1 , permanent 2 , append-only 3 distributed 4 ledger 5. A mathematical structure for storing data in a way that is nearly impossible to fake. It can be used for all kinds of valuable data. Included was a link to a nine-page white paper describing a technology that some are now convinced will disrupt the financial system. Early civilizations used threat of force as retribution for dealing in bad faith when engaging in trade.
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Using data mining to detect health care fraud and abuse: a review of literature

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Process mining in supply chains : a systematic literature review

A literature review summarizes and synthesizes the existing scholarly research on a particular topic. Literature reviews are a form of academic writing commonly used in the sciences, social sciences, and humanities. However, unlike research papers, which establish new arguments and make original contributions, literature reviews organize and present existing research. As a student or academic, you might produce a literature review as a standalone paper or as a portion of a larger research project. In order to understand literature reviews, it's best to first understand what they are not. First, literature reviews are not bibliographies.
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Process of conducting literature review in research

In recent years, because of the advancements in communication and networking technologies, mobile technologies have been developing at an unprecedented rate. Although there have been several attempts to review mHealth research through manual processes such as systematic reviews, the sheer magnitude of the number of studies published in recent years makes this task very challenging. The most recent developments in machine learning and text mining offer some potential solutions to address this challenge by allowing analyses of large volumes of texts through semi-automated processes. The objective of this study is to analyze the evolution of mHealth research by utilizing text-mining and natural language processing NLP analyses.
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The execution of processes in companies generates traces of event data, stored in the underlying information system s , capturing the actual execution of the process. Analyzing event data, i. However, in practice, the data are extracted from different systems, e. Hence, pre-processing techniques that allow us to abstract event data into the right level of granularity are vital for the successful application of process mining.
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