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Learning from Uncertainty for Big Data: Future Analytical Challenges and Strategies
1 references·9 citing·37 second hop
Learning from Uncertainty for Big Data: Future Analytical Challenges and Strategies (2016)Learning from Uncertainty for Big Data: F…Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …A Referenced Framework on New Challenges and Cutting-Edge Research Trends for Big-Data Processing Using Machine Learning Approaches (2023)A Referenced Framework on New…Stratified Sampling-Based Data Reduction and Categorization Model for Big Data Mining (2020)Stratified Sampling-Based Dat…Computational Modelling for Bankruptcy Prediction: Semantic Data Analysis Integrating Graph Database and Financial Ontology (2019)Computational Modelling for B…Uncertainty reduction in big data catalogue for information product quality evaluation (2018)Uncertainty reduction in big …Sustainable Fashion Supply Chain Management: A System of Systems Analysis (2018)Sustainable Fashion Supply Ch…A System of Systems Approach for Global Supply Chain Management in the Big Data Era (2018)A System of Systems Approach …Responsive supply in fashion mass customisation systems with consumer returns (2017)Responsive supply in fashion …A Novel Integrated Framework to Ensure Better Data Quality in Big Data Analytics over Cloud Environment (2017)A Novel Integrated Framework …Incorporating social media observations and bounded rationality into fashion quick response supply chains in the big data era (2016)Incorporating social media ob…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)Reducing the Cost of Demand Uncertainty Through Accurate Response to Early Sales (1996)Supply Chain Coordination with Contracts (2003)The Value of Fast Fashion: Quick Response, Enhanced Design, and Strategic Consumer Behavior (2011)Game theory applications in production research in the sharing and circular economy era (2019)Big data and big disaster: a mechanism of supply chain risk management in global logistics industry (2022)The potentials of combining Blockchain technology and Internet of Things for digital reverse supply chain: A case study (2022)Making mass customization work (1993)Mass customization: Literature review and research directions (2001)Optimal advertisement budget allocation and coordination in luxury fashion supply chains with multiple brand-tier products (2019)The optimal channel structure with retail costs in a dual-channel supply chain (2019)Whether a retailer should enter an e‐commerce platform taking into account consumer returns (2020)A survey of tools and applications in big data (2015)Smartbuddy: defining human behaviors using big data analytics in social internet of things (2016)A critical evaluation of handling uncertainty in Big Data processing (2022)Risk, Uncertainty and Profit (1921)Taming Uncertainty in Big Data (2014)Elements of the formal model big date (2015)A strategic decision framework for green supply chain management (2003)Perspectives on risk management in supply chains (2009)Managing Disruptions and the Ripple Effect in Digital Supply Chains: Empirical Case Studies (2019)Towards a System of Systems Concepts (1971)Management information systems: managing the digital firm (2003)Optimal carbon tax design for achieving low carbon supply chains (2020)Circular supply chain management with large scale group decision making in the big data era: The macro-micro model (2021)How blockchain adoption affects supply chain sustainability in the fashion industry: a systematic review and case studies (2023)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Beyond the hype: Big data concepts, methods, and analytics (2014)Critical analysis of Big Data challenges and analytical methods (2016)Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature (2017)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)A survey of machine learning for big data processing (2016)Machine learning on big data: Opportunities and challenges (2017)
this work references cited by second hop

References

  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,046 cited

Cited by

  • 2018Sustainable Fashion Supply Chain Management: A System of Systems Analysis102 cited
  • 2016Incorporating social media observations and bounded rationality into fashion quick response supply chains in the big data era101 cited
  • 2017Responsive supply in fashion mass customisation systems with consumer returns60 cited
  • 2018A System of Systems Approach for Global Supply Chain Management in the Big Data Era56 cited
  • 2023A Referenced Framework on New Challenges and Cutting-Edge Research Trends for Big-Data Processing Using Machine Learning Approaches19 cited
  • 2019Computational Modelling for Bankruptcy Prediction: Semantic Data Analysis Integrating Graph Database and Financial Ontology19 cited
  • 2018Uncertainty reduction in big data catalogue for information product quality evaluation15 cited
  • 2017A Novel Integrated Framework to Ensure Better Data Quality in Big Data Analytics over Cloud Environment11 cited
  • 2020Stratified Sampling-Based Data Reduction and Categorization Model for Big Data Mining9 cited

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