Adrian Gepp | Bond University (original) (raw)

Papers by Adrian Gepp

Research paper thumbnail of The Role of Survival Analysis in Financial Distress Prediction

International Research Journal of Finance and Economics, 2008

Accurate business failure prediction models would be extremely valuable to many industry sectors,... more Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. The potential value of such models has been recently emphasised by the extremely costly failure of high profile businesses in both Australia and overseas, such as HIH (Australia) and Enron (USA). Consequently, there has been a significant increase in interest in business failure prediction from both industry and academia.

Research paper thumbnail of A comparative analysis of decision trees vis-à-vis other computational data mining techniques in automotive insurance fraud detection

Journal of Data Science, Jul 1, 2012

Research paper thumbnail of A review of procedures to evolve quantum algorithms

Genetic Programming and Evolvable Machines, Feb 24, 2009

There exist quantum algorithms that are more efficient than their classical counterparts; such al... more There exist quantum algorithms that are more efficient than their classical counterparts; such algorithms were invented by Shor in 1994 and then Grover in 1996. A lack of invention since Grover's algorithm has been commonly attributed to the non-intuitive nature of quantum algorithms to the classically trained person. Thus, the idea of using computers to automatically generate quantum algorithms based on an evolutionary model emerged. A limitation of this approach is that quantum computers do not yet exist and quantum simulation on a classical machine has an exponential order overhead. Nevertheless, early research into evolving quantum algorithms has shown promise.

Research paper thumbnail of Business failure prediction using statistical techniques: A review

Accurate business failure prediction models would be extremely valuable to many industry sectors,... more Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. The potential value of such models has been recently emphasised by the extremely costly failure of high profile businesses in both Australia and overseas, such as HIH (Australia) and Enron (USA). Consequently, there has been a significant increase in interest in business failure prediction from both industry and academia.

Research paper thumbnail of A Review of Procedure to Evolve Quantum Procedures

There exist quantum algorithms that are more efficient than their classical counterparts; such al... more There exist quantum algorithms that are more efficient than their classical counterparts; such algorithms were invented by Shor in 1994 and then Grover in 1996. A lack of invention since Grover's algorithm has been commonly attributed to the non-intuitive nature of quantum algorithms to the classically trained person. Thus, the idea of using computers to automatically generate quantum algorithms based on an evolutionary model emerged. A limitation of this approach is that quantum computers do not yet exist and quantum simulation on a classical machine has an exponential order overhead. Nevertheless, early research into evolving quantum algorithms has shown promise. This paper provides an introduction into quantum and evolutionary algorithms for the computer scientist not familiar with these fields. The exciting field of using evolutionary algorithms to evolve quantum algorithms is then reviewed.

Research paper thumbnail of Business failure prediction using decision trees

Journal of Forecasting, Nov 25, 2009

Abstract Accurate business failure prediction models would be extremely valuable to many industry... more Abstract Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such models is emphasised by the extremely costly failure of high-profile companies in the ...

Research paper thumbnail of Business Failure Prediction using Survival Analysis

Business Papers, 2006

ABSTRACT Accurate business failure prediction models would be extremely valuable to many industry... more ABSTRACT Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. Recently, there has been a significant increase in interest in business failure prediction, from both industry and academia. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have been the most popular approaches, but there are also a large number of alternative techniques available. In this paper, a comparatively new technique known as survival analysis has been used for business failure prediction. Overall, the results suggest that survival analysis techniques provide more information that can be used to further the understanding of the business failure process.

Research paper thumbnail of Financial Statement Fraud Detection and Possible link to Company Failure

Research paper thumbnail of An evaluation of decision tree and survival analysis techniques for business failure prediction

Research paper thumbnail of Predicting Financial Distress: A Comparison of Survival Analysis and Decision Tree Techniques

Procedia Computer Science, 2015

Research paper thumbnail of Business failure prediction using survival analysis

ABSTRACT Accurate business failure prediction models would be extremely valuable to many industry... more ABSTRACT Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. Recently, there has been a significant increase in interest in business failure prediction, from both industry and academia. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have been the most popular approaches, but there are also a large number of alternative techniques available. In this paper, a comparatively new technique known as survival analysis has been used for business failure prediction. Overall, the results suggest that survival analysis techniques provide more information that can be used to further the understanding of the business failure process.

Research paper thumbnail of A Review of Procedure to Evolve Quantum Procedures

Arxiv preprint arXiv:0708.3278, 2007

There exist quantum algorithms that are more efficient than their classical counterparts; such al... more There exist quantum algorithms that are more efficient than their classical counterparts; such algorithms were invented by Shor in 1994 and then Grover in 1996. A lack of invention since Grover's algorithm has been commonly attributed to the non-intuitive nature of quantum algorithms to the classically trained person. Thus, the idea of using computers to automatically generate quantum algorithms based on an evolutionary model emerged. A limitation of this approach is that quantum computers do not yet exist and quantum simulation on a classical machine has an exponential order overhead. Nevertheless, early research into evolving quantum algorithms has shown promise.

Research paper thumbnail of A review of procedures to evolve quantum algorithms

Genetic Programming and Evolvable Machines, 2009

There exist quantum algorithms that are more efficient than their classical counterparts; such al... more There exist quantum algorithms that are more efficient than their classical counterparts; such algorithms were invented by Shor in 1994 and then Grover in 1996. A lack of invention since Grover's algorithm has been commonly attributed to the non-intuitive nature of quantum algorithms to the classically trained person. Thus, the idea of using computers to automatically generate quantum algorithms based on an evolutionary model emerged. A limitation of this approach is that quantum computers do not yet exist and quantum simulation on a classical machine has an exponential order overhead. Nevertheless, early research into evolving quantum algorithms has shown promise.

Research paper thumbnail of The role of survival analysis in financial distress prediction

International research journal of finance and …, 2008

International Research Journal of Finance and Economics ISSN 1450-2887 Issue 16 (2008) © EuroJour... more International Research Journal of Finance and Economics ISSN 1450-2887 Issue 16 (2008) © EuroJournals Publishing, Inc. 2008 http://www.eurojournals.com/finance.htm ... The Role of Survival Analysis in Financial Distress Prediction ... Adrian Gepp Faculty of Business, ...

Research paper thumbnail of Business failure prediction using decision trees

Abstract Accurate business failure prediction models would be extremely valuable to many industry... more Abstract Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such models is emphasised by the extremely costly failure of high-profile companies in the ...

Research paper thumbnail of The Role of Survival Analysis in Financial Distress Prediction

International Research Journal of Finance and Economics, 2008

Accurate business failure prediction models would be extremely valuable to many industry sectors,... more Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. The potential value of such models has been recently emphasised by the extremely costly failure of high profile businesses in both Australia and overseas, such as HIH (Australia) and Enron (USA). Consequently, there has been a significant increase in interest in business failure prediction from both industry and academia.

Research paper thumbnail of A comparative analysis of decision trees vis-à-vis other computational data mining techniques in automotive insurance fraud detection

Journal of Data Science, Jul 1, 2012

Research paper thumbnail of A review of procedures to evolve quantum algorithms

Genetic Programming and Evolvable Machines, Feb 24, 2009

There exist quantum algorithms that are more efficient than their classical counterparts; such al... more There exist quantum algorithms that are more efficient than their classical counterparts; such algorithms were invented by Shor in 1994 and then Grover in 1996. A lack of invention since Grover's algorithm has been commonly attributed to the non-intuitive nature of quantum algorithms to the classically trained person. Thus, the idea of using computers to automatically generate quantum algorithms based on an evolutionary model emerged. A limitation of this approach is that quantum computers do not yet exist and quantum simulation on a classical machine has an exponential order overhead. Nevertheless, early research into evolving quantum algorithms has shown promise.

Research paper thumbnail of Business failure prediction using statistical techniques: A review

Accurate business failure prediction models would be extremely valuable to many industry sectors,... more Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. The potential value of such models has been recently emphasised by the extremely costly failure of high profile businesses in both Australia and overseas, such as HIH (Australia) and Enron (USA). Consequently, there has been a significant increase in interest in business failure prediction from both industry and academia.

Research paper thumbnail of A Review of Procedure to Evolve Quantum Procedures

There exist quantum algorithms that are more efficient than their classical counterparts; such al... more There exist quantum algorithms that are more efficient than their classical counterparts; such algorithms were invented by Shor in 1994 and then Grover in 1996. A lack of invention since Grover's algorithm has been commonly attributed to the non-intuitive nature of quantum algorithms to the classically trained person. Thus, the idea of using computers to automatically generate quantum algorithms based on an evolutionary model emerged. A limitation of this approach is that quantum computers do not yet exist and quantum simulation on a classical machine has an exponential order overhead. Nevertheless, early research into evolving quantum algorithms has shown promise. This paper provides an introduction into quantum and evolutionary algorithms for the computer scientist not familiar with these fields. The exciting field of using evolutionary algorithms to evolve quantum algorithms is then reviewed.

Research paper thumbnail of Business failure prediction using decision trees

Journal of Forecasting, Nov 25, 2009

Abstract Accurate business failure prediction models would be extremely valuable to many industry... more Abstract Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such models is emphasised by the extremely costly failure of high-profile companies in the ...

Research paper thumbnail of Business Failure Prediction using Survival Analysis

Business Papers, 2006

ABSTRACT Accurate business failure prediction models would be extremely valuable to many industry... more ABSTRACT Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. Recently, there has been a significant increase in interest in business failure prediction, from both industry and academia. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have been the most popular approaches, but there are also a large number of alternative techniques available. In this paper, a comparatively new technique known as survival analysis has been used for business failure prediction. Overall, the results suggest that survival analysis techniques provide more information that can be used to further the understanding of the business failure process.

Research paper thumbnail of Financial Statement Fraud Detection and Possible link to Company Failure

Research paper thumbnail of An evaluation of decision tree and survival analysis techniques for business failure prediction

Research paper thumbnail of Predicting Financial Distress: A Comparison of Survival Analysis and Decision Tree Techniques

Procedia Computer Science, 2015

Research paper thumbnail of Business failure prediction using survival analysis

ABSTRACT Accurate business failure prediction models would be extremely valuable to many industry... more ABSTRACT Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. Recently, there has been a significant increase in interest in business failure prediction, from both industry and academia. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have been the most popular approaches, but there are also a large number of alternative techniques available. In this paper, a comparatively new technique known as survival analysis has been used for business failure prediction. Overall, the results suggest that survival analysis techniques provide more information that can be used to further the understanding of the business failure process.

Research paper thumbnail of A Review of Procedure to Evolve Quantum Procedures

Arxiv preprint arXiv:0708.3278, 2007

There exist quantum algorithms that are more efficient than their classical counterparts; such al... more There exist quantum algorithms that are more efficient than their classical counterparts; such algorithms were invented by Shor in 1994 and then Grover in 1996. A lack of invention since Grover's algorithm has been commonly attributed to the non-intuitive nature of quantum algorithms to the classically trained person. Thus, the idea of using computers to automatically generate quantum algorithms based on an evolutionary model emerged. A limitation of this approach is that quantum computers do not yet exist and quantum simulation on a classical machine has an exponential order overhead. Nevertheless, early research into evolving quantum algorithms has shown promise.

Research paper thumbnail of A review of procedures to evolve quantum algorithms

Genetic Programming and Evolvable Machines, 2009

There exist quantum algorithms that are more efficient than their classical counterparts; such al... more There exist quantum algorithms that are more efficient than their classical counterparts; such algorithms were invented by Shor in 1994 and then Grover in 1996. A lack of invention since Grover's algorithm has been commonly attributed to the non-intuitive nature of quantum algorithms to the classically trained person. Thus, the idea of using computers to automatically generate quantum algorithms based on an evolutionary model emerged. A limitation of this approach is that quantum computers do not yet exist and quantum simulation on a classical machine has an exponential order overhead. Nevertheless, early research into evolving quantum algorithms has shown promise.

Research paper thumbnail of The role of survival analysis in financial distress prediction

International research journal of finance and …, 2008

International Research Journal of Finance and Economics ISSN 1450-2887 Issue 16 (2008) © EuroJour... more International Research Journal of Finance and Economics ISSN 1450-2887 Issue 16 (2008) © EuroJournals Publishing, Inc. 2008 http://www.eurojournals.com/finance.htm ... The Role of Survival Analysis in Financial Distress Prediction ... Adrian Gepp Faculty of Business, ...

Research paper thumbnail of Business failure prediction using decision trees

Abstract Accurate business failure prediction models would be extremely valuable to many industry... more Abstract Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such models is emphasised by the extremely costly failure of high-profile companies in the ...