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Application of Hadoop in Data Science
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Application of Hadoop in Data Science (2022)Application of Hadoop in Data ScienceProcessing Big Data with Apache Hadoop in the Current Challenging Era of COVID-19 (2021)Processing Big Data with Apac…Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science (2019)Process Mining for Python (PM…Geographic Data Science (2019)Geographic Data ScienceA Hadoop/MapReduce Based Platform for Supporting Health Big Data Analytics (2019)A Hadoop/MapReduce Based Plat…Data Science: A New Paradigm in the Age of Big-Data Science and Analytics (2017)Data Science: A New Paradigm …2017 IEEE International Conference on Big Data (Big Data) (2017)2017 IEEE International Confe…Big Data Analytics Services for Enhancing Business Intelligence (2016)Big Data Analytics Services f…A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology (2015)A Brief Introduction on Big D…Analytics In A Big Data World: The Essential Guide To Data Science And Its Applications (2014)Analytics In A Big Data World…Big data: The next frontier for innovation, competition, and productivity (2011)Big Data : The Management Revolution (2013)Beyond the hype: Big data concepts, methods, and analytics (2014)A mini-review of machine learning in big data analytics: Applications, challenges, and prospects (2022)Sustainability Innovation in the Textile Industry: A Systematic Review (2023)Big Data Analytics, Artificial Intelligence, Machine Learning, Internet of Things, and Blockchain for Enhanced Business Intelligence (2024)The Structure of Scientific Revolutions (1963)The Fourth Paradigm: Data-Intensive Scientific Discovery (2009)Big Data, new epistemologies and paradigm shifts (2014)Data Science Around the Indexed Literature Perspective (2020)Emergency response with mobile geosocial sensing in the post‐app era (2020)Data science: A Review towards the Big Data Problems (2021)To Explain or to Predict? (2010)CRITICAL QUESTIONS FOR BIG DATA (2012)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Exploring new ways of visitor tracking using big data sources: Opportunities and limits of passive mobile data for tourism (2020)Opening practice: supporting reproducibility and critical spatial data science (2020)Smart cities, big data and urban policy: Towards urban analytics for the long run (2020)Mining Social Networks: Uncovering Interaction Patterns in Business Processes (2004)Workflow mining: discovering process models from event logs (2004)The ProM Framework: A New Era in Process Mining Tool Support (2005)PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information (2020)Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2023)Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring (2023)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Critical analysis of Big Data challenges and analytical methods (2016)Big-Data Management: A Driver for Digital Transformation? (2021)Elastic Stack and GRAPHYP Knowledge Graph of Web Usage: A Win–Win Workflow for Semantic Interoperability in Decision Making (2023)From Databases to Big Data (2012)Big data: Issues, challenges, tools and Good practices (2013)Customer engagement in a Big Data world (2017)Big data analytics for healthcare industry: impact, applications, and tools (2018)Big Data analytics in oil and gas industry: An emerging trend (2018)Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis (2020)Deep learning for financial applications : A survey (2020)Archives and AI: An Overview of Current Debates and Future Perspectives (2021)Big Data Analytics: Applications, Prospects and Challenges (2017)Recent developments of control charts, identification of big data sources and future trends of current research (2019)Why you should stop predicting customer churn and start using uplift models (2019)
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References

  • 2015A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology418 cited
  • 20172017 IEEE International Conference on Big Data (Big Data)309 cited
  • 2016Big Data Analytics Services for Enhancing Business Intelligence199 cited
  • 2019Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science165 cited
  • 2014Analytics In A Big Data World: The Essential Guide To Data Science And Its Applications154 cited
  • 2019Geographic Data Science127 cited
  • 2021Processing Big Data with Apache Hadoop in the Current Challenging Era of COVID-1942 cited
  • 2017Data Science: A New Paradigm in the Age of Big-Data Science and Analytics21 cited
  • 2019A Hadoop/MapReduce Based Platform for Supporting Health Big Data Analytics11 cited

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