Dataset for Systematic Literature Review on Process Mining

This dataset contains detailed information from a Systematic Literature Review (SLR) on Process Mining, including bibliographic data, methodologies, and key findings from selected research papers. This study presents a Systematic Literature Review (SLR) on Process Mining, aiming to analyze the evolution, trends, and challenges in the field. By applying a structured search strategy across multiple digital libraries, we identify, classify, and synthesize relevant research works. The study provides insights into methodologies, application domains, and emerging directions in process mining, offering a comprehensive overview for researchers and practitioners. the repository contains the following files: 01_Target_String_Library.txt: lists the search strings used in digital libraries, ensuring a systematic and reproducible literature search. 02_Search_Query_dataset.xlsm: provides a comprehensive record of the studies retrieved from digital libraries, detailing which articles were selected for analysis and which were excluded based on predefined criteria. This dataset ensures transparency in the selection process and facilitates reproducibility in systematic literature reviews. 03_Groups_of_Primary_Studies.xlsm: categorizes independent studies in process mining, organizing them based on their authorship, title, year, and publication source. This classification ensures a structured overview of relevant research, facilitating the evaluation and comparison of contributions within the field. 04_Answer_QA.xlsm: presents a structured assessment of the methodological quality of selected studies, evaluating key criteria to determine their rigor, reliability, and applicability in process mining research.本数据集包含一项针对流程挖掘（Process Mining）的系统文献综述（Systematic Literature Review，SLR）的详细信息，涵盖入选研究论文的文献计量数据、研究方法与核心发现。 本研究针对流程挖掘开展系统文献综述，旨在剖析该领域的发展演进、研究趋势与现存挑战。研究通过在多座数字图书馆中应用结构化检索策略，完成了相关研究成果的筛选、分类与综合整理。本研究梳理了流程挖掘领域的研究方法、应用场景与新兴方向，为领域内研究者与从业者提供了全面的综述视角。 本数据集仓库包含以下文件： 01_Target_String_Library.txt：列出了数字图书馆检索中使用的检索字符串，确保文献检索过程具备系统性与可复现性。 02_Search_Query_dataset.xlsm：完整记录了从数字图书馆中检索到的研究文献，详细标注了符合分析标准的入选文章与基于预设筛选规则排除的文献。本数据集确保文献筛选过程的透明度，同时可为后续系统文献综述研究的可复现性提供支撑。 03_Groups_of_Primary_Studies.xlsm：对流程挖掘领域的独立研究进行分类，基于作者、论文标题、发表年份与出版物来源进行组织。该分类方式可为相关研究提供结构化概览，便于领域内研究成果的评估与横向比较。 04_Answer_QA.xlsm：对入选研究的方法学质量开展结构化评估，通过对关键评价指标的考察，判定其研究严谨性、可靠性与在流程挖掘领域的应用适用性。