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A Referenced Framework on New Challenges and Cutting-Edge Research Trends for Big-Data Processing Using Machine Learning Approaches
7 references·0 citing·30 second hop
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 Challenges …How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda (2022)How are reinforcement learnin…Machine learning on big data: Opportunities and challenges (2017)Machine learning on big data:…Learning from Uncertainty for Big Data: Future Analytical Challenges and Strategies (2016)Learning from Uncertainty for…A survey of machine learning for big data processing (2016)A survey of machine learning …Big Data – The information revolution (2015)Big Data – The information re…Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Toward Scalable Systems for B…From Big Data to Big Data Mining: Challenges, Issues, and Opportunities (2013)From Big Data to Big Data Min…From Databases to Big Data (2012)Big Data Reduction Methods: A Survey (2016)Multimedia Big Data Analytics (2018)Using social media to identify tourism attractiveness in six Italian cities (2018)The Fourth Paradigm: Data-Intensive Scientific Discovery (2009)Big data: The next frontier for innovation, competition, and productivity (2011)Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (2011)Big data analytics: a survey (2015)Big Data for Modern Industry: Challenges and Trends [Point of View] (2015)Data mining with big data (2013)Big Data: A Survey (2014)Big Data technologies: A survey (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Uncertainty in big data analytics: survey, opportunities, and challenges (2019)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Incorporating social media observations and bounded rationality into fashion quick response supply chains in the big data era (2016)Responsive supply in fashion mass customisation systems with consumer returns (2017)Sustainable Fashion Supply Chain Management: A System of Systems Analysis (2018)Beyond the hype: Big data concepts, methods, and analytics (2014)Big Data Deep Learning: Challenges and Perspectives (2014)Deep learning applications and challenges in big data analytics (2015)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)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)Textual Analysis in Accounting and Finance: A Survey (2016)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Deep learning in business analytics: A clash of expectations and reality (2022)A sociotechnical perspective for responsible AI maturity models: Findings from a mixed-method literature review (2023)AI-powered ensemble machine learning to optimize cost strategies in logistics business (2023)
this work references cited by second hop

References

  • 2017Machine learning on big data: Opportunities and challenges1,234 cited
  • 2014Toward Scalable Systems for Big Data Analytics: A Technology Tutorial1,098 cited
  • 2016A survey of machine learning for big data processing916 cited
  • 2013From Big Data to Big Data Mining: Challenges, Issues, and Opportunities225 cited
  • 2022How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda203 cited
  • 2016Learning from Uncertainty for Big Data: Future Analytical Challenges and Strategies80 cited
  • 2015Big Data – The information revolution25 cited

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