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Application of Data Mining Technology in Financial Risk Analysis
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Application of Data Mining Technology in Financial Risk Analysis (2018)Application of Data Mining Technology in …Financial Risk Early Warning Model of Listed Companies Under Rough Set Theory Using BPNN (2022)Financial Risk Early Warning …The Global Organizational Behavior Analysis for Financial Risk Management Utilizing Artificial Intelligence (2021)The Global Organizational Beh…The analysis of influence mechanism for internet financial fraud identification and user behavior based on machine learning approaches (2021)The analysis of influence mec…Current landscape and influence of big data on finance (2020)Current landscape and influen…Análisis bibliométrico de la producción científica sobre la aplicación de las ciencias de datos para la toma de decisiones en análisis de riesgos, 2015-2020 (2020)Análisis bibliométrico de la …Text Mining for Big Data Analysis in Financial Sector: A Literature Review (2019)Text Mining for Big Data Anal…Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Comprehensive review of text-mining applications in finance (2020)Transparency as a Key Element in Accountability in Non-Profit Organizations: A Systematic Literature Review (2020)Twitter mood predicts the stock market (2011)Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations (2019)Big data analytics as an operational excellence approach to enhance sustainable supply chain performance (2019)Corporate Social Responsibility: Business Responses to Coronavirus (COVID-19) Pandemic (2021)How does financial literacy impact on inclusive finance? (2021)Digital Technology Adoption in SMEs: What Technological, Environmental and Organizational Factors Influence in Emerging Countries? (2023)Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (2013)Process Mining (2016)Chapter 12: What does the Anthropocene hold for citizenship? (2019)The transition from traditional banking to mobile internet finance: an organizational innovation perspective - a comparative study of Citibank and ICBC (2017)Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)Learning about risk: Machine learning for risk assessment (2019)Financial Risk Early Warning Model for Listed Companies Using BP Neural Network and Rough Set Theory (2024)Human-centric barriers and enablers to FinTech use in SMEs: cognitive and organizational insights from smart payment systems (2025)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Crises and Crisis Management: Integration, Interpretation, and Research Development (2016)Organizational Response to Adversity: Fusing Crisis Management and Resilience Research Streams (2017)Financial Ratios As Predictors of Failure (1966)Hidden power of the Big Three? Passive index funds, re-concentration of corporate ownership, and new financial risk (2017)Interconnectedness and systemic risk of China's financial institutions (2017)
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  • 2020Current landscape and influence of big data on finance273 cited
  • 2019Text Mining for Big Data Analysis in Financial Sector: A Literature Review235 cited
  • 2021The analysis of influence mechanism for internet financial fraud identification and user behavior based on machine learning approaches33 cited
  • 2022Financial Risk Early Warning Model of Listed Companies Under Rough Set Theory Using BPNN12 cited
  • 2021The Global Organizational Behavior Analysis for Financial Risk Management Utilizing Artificial Intelligence10 cited
  • 2020Análisis bibliométrico de la producción científica sobre la aplicación de las ciencias de datos para la toma de decisiones en análisis de riesgos, 2015-20207 cited

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