Mining Data for Financial Applications
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About this book
This book constitutes revised selected papers from the 4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held in conjunction with ECML PKDD 2019, in Würzburg, Germany, in September 2019.
The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 16 submissions. They deal with challenges, potentialities, and applications of leveraging data-mining tasks regarding problems in the financial domain.
Data Mining in Finance: Current Advances and Future Challenges
Chapter © 2016
A Survey of Trendy Financial Sector Applications of Machine and Deep Learning
Chapter © 2023
Data Mining Techniques Applied in the Financial Industry
Chapter © 2013
Keywords
- artificial intelligence
- classification
- commerce
- computer systems
- computer vision
- data mining
- databases
- economics
- education
- information technology
- internet
- investments
- learning
- linguistics
- machine learning
- mathematics
- Natural Language Processing (NLP)
- natural languages
- semantics
