C4.5: programs for machine learning
C4.5: programs for machine learning
The nature of statistical learning theory
The nature of statistical learning theory
An illustration of verification and validation in the modelling phase of KBS development
Data & Knowledge Engineering
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Artificial Life
Credit Scoring and Its Applications
Credit Scoring and Its Applications
Pattern Detection and Discovery
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Benchmarking Least Squares Support Vector Machine Classifiers
Machine Learning
A process model to develop an internal rating system: sovereign credit ratings
Decision Support Systems
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Protection or privacy? data mining and personal data
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A stigmergy based approach to data mining
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Ant-based approach to the knowledge fusion problem
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Classification With Ant Colony Optimization
IEEE Transactions on Evolutionary Computation
Using domain-specific knowledge in generalization error bounds for support vector machine learning
Decision Support Systems
Introducing functional classification theory to land use planning by means of decision tables
Decision Support Systems
Decision Support Systems
Financial time series forecasting using independent component analysis and support vector regression
Decision Support Systems
Building acceptable classification models for financial engineering applications: thesis summary
ACM SIGKDD Explorations Newsletter
Identity disclosure protection: A data reconstruction approach for privacy-preserving data mining
Decision Support Systems
Building comprehensible customer churn prediction models with advanced rule induction techniques
Expert Systems with Applications: An International Journal
Identifying financially successful start-up profiles with data mining
Expert Systems with Applications: An International Journal
Comparative analysis of data mining methods for bankruptcy prediction
Decision Support Systems
Financial ratio selection for business crisis prediction
Expert Systems with Applications: An International Journal
Performance of classification models from a user perspective
Decision Support Systems
Going-concern prediction using hybrid random forests and rough set approach
Information Sciences: an International Journal
| Hi-index | 0.00 |
The auditor is required to evaluate whether substantial doubt exists about the client entity's ability to continue as a going concern. Accounting debacles in recent years have shown the importance of proper and thorough audit analysis. Since the 80s, many studies have applied statistical techniques, mainly logistic regression, as an automated tool to guide the going concern opinion formulation. In this paper, we introduce more advanced data mining techniques, such as support vector machines and rule-based classifiers, and empirically investigate the ongoing discussion concerning the sampling methodology. To provide specific audit guidelines, we infer rules with the state-of-the-art classification technique AntMiner+, which are subsequently converted into a decision table allowing for truly easy and user-friendly consultation in every day audit business practices.