Information extraction from syllabi for academic e-Advising
Expert Systems with Applications: An International Journal
Evolutionary Optimization of Trading Strategies
Proceedings of the 2008 conference on Applications of Data Mining in E-Business and Finance
Towards Business Interestingness in Actionable Knowledge Discovery
Proceedings of the 2008 conference on Applications of Data Mining in E-Business and Finance
Integrating Data Mining and Agent Based Modeling and Simulation
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
An efficient approach for building customer profiles from business data
Expert Systems with Applications: An International Journal
Time sequence summarization to scale up chronology-dependent applications
Proceedings of the 18th ACM conference on Information and knowledge management
Training a Neural Logic Network to predict financial returns: a case study
International Journal of Electronic Finance
Agent-based evolutionary optimisation of trading strategies
International Journal of Intelligent Information and Database Systems
Applying text and data mining techniques to forecasting the trend of petitions filed to e-People
Expert Systems with Applications: An International Journal
Provably secure integrated on/off-line electronic cash for flexible and efficient payment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A multiple-kernel support vector regression approach for stock market price forecasting
Expert Systems with Applications: An International Journal
Identification of fraudulent financial statements using linguistic credibility analysis
Decision Support Systems
Expert Systems with Applications: An International Journal
A learning-based contrarian trading strategy via a dual-classifier model
ACM Transactions on Intelligent Systems and Technology (TIST)
Discovering cardholders' payment-patterns based on clustering analysis
Expert Systems with Applications: An International Journal
A hybrid stock selection model using genetic algorithms and support vector regression
Applied Soft Computing
Mining the “Voice of the Customer” for Business Prioritization
ACM Transactions on Intelligent Systems and Technology (TIST)
Global data mining: An empirical study of current trends, future forecasts and technology diffusions
Expert Systems with Applications: An International Journal
Improving financial data quality using ontologies
Decision Support Systems
International Journal of Business Intelligence and Data Mining
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With the increase of economic globalization and evolution of information technology, financial data are being generated and accumulated at an unprecedented pace. As a result, there has been a critical need for automated approaches to effective and efficient utilization of massive amount of financial data to support companies and individuals in strategic planning and investment decision-making. Data mining techniques have been used to uncover hidden patterns and predict future trends and behaviors in financial markets. The competitive advantages achieved by data mining include increased revenue, reduced cost, and much improved marketplace responsiveness and awareness. There has been a large body of research and practice focusing on exploring data mining techniques to solve financial problems. In this paper, we describe data mining in the context of financial application from both technical and application perspectives. In addition, we compare different data mining techniques and discuss important data mining issues involved in specific financial applications. Finally, we highlight a number of challenges and trends for future research in this area.