Special Issue: Data Mining for Financial Decision Making
Title | Special Issue: Data Mining for Financial Decision Making PDF eBook |
Author | Hui Wang |
Publisher | |
Pages | 148 |
Release | 2004 |
Genre | |
ISBN |
Data mining for financial decision making
Title | Data mining for financial decision making PDF eBook |
Author | Hui Wang |
Publisher | |
Pages | 148 |
Release | 2004 |
Genre | |
ISBN |
Special issue on Machine learning and data mining in finance
Title | Special issue on Machine learning and data mining in finance PDF eBook |
Author | |
Publisher | |
Pages | 72 |
Release | 1999 |
Genre | |
ISBN |
Numerical Methods for Finance
Title | Numerical Methods for Finance PDF eBook |
Author | John Miller |
Publisher | CRC Press |
Pages | 312 |
Release | 2007-09-21 |
Genre | Business & Economics |
ISBN | 1584889268 |
Featuring international contributors from both industry and academia, Numerical Methods for Finance explores new and relevant numerical methods for the solution of practical problems in finance. It is one of the few books entirely devoted to numerical methods as applied to the financial field. Presenting state-of-the-art methods in this area
Natural Computing in Computational Finance
Title | Natural Computing in Computational Finance PDF eBook |
Author | Anthony Brabazon |
Publisher | Springer Science & Business Media |
Pages | 246 |
Release | 2009-03-13 |
Genre | Business & Economics |
ISBN | 3540959734 |
Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechanisms drawn from Natural Computing algorithms for the purposes of agent-based modelling in finance and economics. In this book we have collected a series of chapters which illustrate these two faces of Natural Computing. The first part of the book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number agent-based simulations of financial systems. This book follows on from Natural Computing in Computational Finance (Volume 100 in Springer’s Studies in Computational Intelligence series) which in turn arose from the success of EvoFIN 2007, the very first European Workshop on Evolutionary Computation in Finance & Economics held in Valencia, Spain in April 2007.
Data Science and Multiple Criteria Decision Making Approaches in Finance
Title | Data Science and Multiple Criteria Decision Making Approaches in Finance PDF eBook |
Author | Gökhan Silahtaroğlu |
Publisher | Springer Nature |
Pages | 183 |
Release | 2021-05-29 |
Genre | Business & Economics |
ISBN | 3030741761 |
This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM) methods. It introduces readers to a range of data science methods, and demonstrates their application in the fields of business, health, economics, finance and engineering. In addition, it provides suggestions based on the assessment results on each topic, which can help to enhance the efficiency of the financial system and the sustainability of economic development. Given its scope, the book will help readers broaden their perspective on the assessment and evaluation of financial issues using data science and MCDM approaches.
Data Mining in Finance
Title | Data Mining in Finance PDF eBook |
Author | Ashok N. Srivastava |
Publisher | |
Pages | 118 |
Release | 1997 |
Genre | |
ISBN |