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The potential and challenges of Big data - Recommendation systems next level application
3 references·2 citing·23 second hop
The potential and challenges of Big data - Recommendation systems next level application (2015)The potential and challenges of Big data …Semantics, intelligent processing and services for big data (2014)Semantics, intelligent proces…Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …Understanding customer relationship management (CRM) (2003)Understanding customer relati…Assessment of Congruence of Unstructured Data Using Text Mining Technology (2021)Assessment of Congruence of U…Pattern graph tracking-based stock price prediction using big data (2017)Pattern graph tracking-based …Reengineering the Corporation (1993)Reengineering the corporation: A manifesto for business revolution (1993)An evaluation of divergent perspectives on customer relationship management: Towards a common understanding of an emerging phenomenon (2004)Customer relationship management: Finding value drivers (2006)The New Industrial Engineering: Information Technology and Business Process Redesign (2011)Social media technology usage and customer relationship performance: A capabilities-based examination of social CRM (2013)Big data: The next frontier for innovation, competition, and productivity (2011)Critical analysis of Big Data challenges and analytical methods (2016)A survey on deep learning for big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Twitter mood predicts the stock market (2011)How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning (2020)Generative adversarial network (GAN) and enhanced root mean square error (ERMSE): deep learning for stock price movement prediction (2021)Sports match prediction model for training and exercise using attention-based LSTM network (2021)A Content Analysis of the Content Analysis Literature in Organization Studies: Research Themes, Data Sources, and Methodological Refinements (2007)Text Mining in Qualitative Research (2008)Opening Up to Big Data : Computer-Assisted Analysis of Textual Data in Social Sciences (2013)Assess the efficacy of China’s Inter-provincial Government Services policy: A quantitative evaluation based on PMC-Index model (2024)Big data and analytics: issues, challenges, and opportunities (2015)An insight into big data analytics — Methods and application (2016)Big Data and Healthcare Data (2017)
this work references cited by second hop

References

  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,046 cited
  • 2003Understanding customer relationship management (CRM)1,228 cited
  • 2014Semantics, intelligent processing and services for big data30 cited

Cited by

  • 2017Pattern graph tracking-based stock price prediction using big data82 cited
  • 2021Assessment of Congruence of Unstructured Data Using Text Mining Technology2 cited

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