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A Taxonomy of Dirty Time-Oriented Data
8 references·6 citing·44 second hop
A Taxonomy of Dirty Time-Oriented Data (2012)A Taxonomy of Dirty Time-Oriented DataOverview and Framework for Data and Information Quality Research (2009)Overview and Framework for Da…Basics of Qualitative Research (3rd ed.): Techniques and Procedures for Developing Grounded Theory (2008)Basics of Qualitative Researc…A Survey of Data Quality Tools. (2005)A Survey of Data Quality Tool…A Formal Definition of Data Quality Problems. (2005)A Formal Definition of Data Q…A Taxonomy of Dirty Data (2003)A Taxonomy of Dirty DataPotter's Wheel: An Interactive Data Cleaning System (2001)Potter's Wheel: An Interactiv…Data Cleaning: Problems and Current Approaches. (2000)Data Cleaning: Problems and C…Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Basics of qualitative researc…Dirty Data in the Newsroom: Comparing Data Preparation in Journalism and Data Science (2023)Dirty Data in the Newsroom: C…Towards interactive event log forensics: Detecting and quantifying timestamp imperfections (2022)Towards interactive event log…Data Quality in Process Mining (2020)Data Quality in Process MiningUsing Indoor Location System Data to Enhance the Quality of Healthcare Event Logs: Opportunities and Challenges (2019)Using Indoor Location System …Quality of input data in emergency department simulations: Framework and assessment techniques (2018)Quality of input data in emer…Visual Analytics Meets Process Mining: Challenges and Opportunities (2017)Visual Analytics Meets Proces…Anchoring data quality dimensions in ontological foundations (1996)Data quality assessment (2002)Big Data Quality: A Quality Dimensions Evaluation (2016)Big Data Quality: A Survey (2018)Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems (1985)A framework for analysis of data quality research (1995)Building a Data Warehouse (2008)A Survey on Data Quality: Classifying Poor Data (2015)Detecting data errors (2016)Similarity encoding for learning with dirty categorical variables (2018)An overview of data warehousing and OLAP technology (1997)Exploratory Data Mining and Data Cleaning (2003)Fundamentals of Data Warehouses (2003)A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication (2011)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Researching Lived Experience: Human Science for an Action Sensitive Pedagogy (1990)Narrative Inquiry: Experience and Story in Qualitative Research (1999)Using thematic analysis in psychology (2006)Document Analysis as a Qualitative Research Method (2009)Seeking Qualitative Rigor in Inductive Research (2012)Out of the Crisis (1982)Design science in information systems research (2004)Five Misunderstandings About Case-Study Research (2004)Data, Information, Knowledge, Wisdom (DIKW): A Semiotic Theoretical and Empirical Exploration of the Hierarchy and its Quality Dimension (2013)Evaluating the Quality of Social Media Data in Big Data Architecture (2015)Considerations for development and use of AI in response to COVID-19 (2020)Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem (1998)A Comparison of String Metrics for Matching Names and Records (2003)Conditional functional dependencies for capturing data inconsistencies (2008)Data Cleaning (2016)Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Simulation with Arena (1998)How Can Interactive Process Discovery Address Data Quality Issues in Real Business Settings? Evidence from a Case Study in Healthcare (2022)Quality-Informed Process Mining: A Case for Standardised Data Quality Annotations (2022)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Information Systems Success: The Quest for the Dependent Variable (1992)A Design Science Research Methodology for Information Systems Research (2007)Everything at the proper time: Repairing identical timestamp errors in event logs with Generative Adversarial Networks (2023)Demystifying data governance for process mining: Insights from a Delphi study (2024)Getting the Data in Shape for Your Process Mining Analysis: An In-Depth Analysis of the Pre-Analysis Stage (2025)Quality of Big Data in health care (2015)Handbook of Data Quality : Research and Practice (2020)Characteristics of Qualitative Descriptive Studies: A Systematic Review (2016)Routledge Handbook of Qualitative Research in Sport and Exercise (2016)
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References

  • 1998Basics of qualitative research : techniques and procedures for developing grounded theory38,622 cited
  • 2008Basics of Qualitative Research (3rd ed.): Techniques and Procedures for Developing Grounded Theory12,155 cited
  • 2000Data Cleaning: Problems and Current Approaches.1,467 cited
  • 2001Potter's Wheel: An Interactive Data Cleaning System510 cited
  • 2009Overview and Framework for Data and Information Quality Research422 cited
  • 2003A Taxonomy of Dirty Data301 cited
  • 2005A Formal Definition of Data Quality Problems.109 cited
  • 2005A Survey of Data Quality Tools.94 cited

Cited by

  • 2018Quality of input data in emergency department simulations: Framework and assessment techniques54 cited
  • 2022Towards interactive event log forensics: Detecting and quantifying timestamp imperfections24 cited
  • 2020Data Quality in Process Mining24 cited
  • 2017Visual Analytics Meets Process Mining: Challenges and Opportunities22 cited
  • 2019Using Indoor Location System Data to Enhance the Quality of Healthcare Event Logs: Opportunities and Challenges15 cited
  • 2023Dirty Data in the Newsroom: Comparing Data Preparation in Journalism and Data Science9 cited

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