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Unlocking the power of machine learning in big data: a scoping survey
16 references·1 citing·35 second hop
Unlocking the power of machine learning in big data: a scoping survey (2025)Unlocking the power of machine learning i…Big data application, factor allocation, and green innovation in Chinese manufacturing enterprises (2023)Big data application, factor …A survey on dataset quality in machine learning (2023)A survey on dataset quality i…Trends and Future Perspective Challenges in Big Data (2021)Trends and Future Perspective…Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions (2021)Deep Learning: A Comprehensiv…Uncertainty in big data analytics: survey, opportunities, and challenges (2019)Uncertainty in big data analy…Big data in healthcare: management, analysis and future prospects (2019)Big data in healthcare: manag…Creating Strategic Business Value from Big Data Analytics: A Research Framework (2018)Creating Strategic Business V…Big data analytics capabilities and knowledge management: impact on firm performance (2018)Big data analytics capabiliti…Machine learning on big data: Opportunities and challenges (2017)Machine learning on big data:…Deep learning in big data Analytics: A comparative study (2017)Deep learning in big data Ana…Advancing scoping study methodology: a web-based survey and consultation of perceptions on terminology, definition and methodological steps (2016)Advancing scoping study metho…Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…Veracity Roadmap: Is Big Data Objective, Truthful and Credible? (2014)Veracity Roadmap: Is Big Data…Big Data Deep Learning: Challenges and Perspectives (2014)Big Data Deep Learning: Chall…Beyond the hype: Big data concepts, methods, and analytics (2014)Beyond the hype: Big data con…Data Quality: The Accuracy Dimension (2003)Data Quality: The Accuracy Di…A hybrid approach to financial big data analysis using extended ensemble learning and optimized spark streaming (2025)A hybrid approach to financia…Big data: The next frontier for innovation, competition, and productivity (2011)A survey on deep learning for big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Data quality management, data usage experience and acquisition intention of big data analytics (2014)Critical analysis of Big Data challenges and analytical methods (2016)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)Job Market Signaling (1973)Dynamic capabilities and strategic management (1997)Achieving superior organizational performance via big data predictive analytics: A dynamic capability view (2019)Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019)Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm’s operational inefficiency and competitiveness (2021)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Absorptive Capacity: A New Perspective on Learning and Innovation (1990)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Digitalization and business models: Where are we going? A science map of the field (2020)Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation (2020)The role of digital innovation in knowledge management systems: A systematic literature review (2020)Fuzzy sets (1965)Fuzzy sets (1996)Comprehensive review of text-mining applications in finance (2020)Digital Transformation and SMART-The Analytics factor (2022)A review of predictive uncertainty estimation with machine learning (2024)Altmetrics: A manifesto (2010)Moving beyond “algorithmic bias is a data problem” (2021)Big Data technologies: A survey (2017)A survey towards an integration of big data analytics to big insights for value-creation (2018)Big Data Analytics in Building the Competitive Intelligence of Organizations (2020)A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022)National strategic artificial intelligence plans: A multi-dimensional analysis (2020)Representation Bias in Data: A Survey on Identification and Resolution Techniques (2023)AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact (2024)Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review (2022)Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism (2023)The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks (2024)
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References

  • 2014Beyond the hype: Big data concepts, methods, and analytics4,222 cited
  • 2021Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions2,700 cited
  • 2015Deep learning applications and challenges in big data analytics2,597 cited
  • 2019Big data in healthcare: management, analysis and future prospects1,747 cited
  • 2014Big Data Deep Learning: Challenges and Perspectives1,255 cited
  • 2017Machine learning on big data: Opportunities and challenges1,234 cited
  • 2018Creating Strategic Business Value from Big Data Analytics: A Research Framework960 cited
  • 2018Big data analytics capabilities and knowledge management: impact on firm performance673 cited
  • 2019Uncertainty in big data analytics: survey, opportunities, and challenges618 cited
  • 2023A survey on dataset quality in machine learning351 cited
  • 2003Data Quality: The Accuracy Dimension321 cited
  • 2016Advancing scoping study methodology: a web-based survey and consultation of perceptions on terminology, definition and methodological steps282 cited
  • 2021Trends and Future Perspective Challenges in Big Data272 cited
  • 2017Deep learning in big data Analytics: A comparative study262 cited
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Veracity Roadmap: Is Big Data Objective, Truthful and Credible?
232 cited
  • 2023Big data application, factor allocation, and green innovation in Chinese manufacturing enterprises198 cited
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    • 2025A hybrid approach to financial big data analysis using extended ensemble learning and optimized spark streaming8 cited