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A Brief Review Of Recent Research Trends On Applications Of Computational And Statistical Techniques In Financial & Business Intelligence, Kuldeep Kumar, Sukanto Bhattacharya
A Brief Review Of Recent Research Trends On Applications Of Computational And Statistical Techniques In Financial & Business Intelligence, Kuldeep Kumar, Sukanto Bhattacharya
Kuldeep Kumar
Artificial neural networks and statistical techniques like decision trees,discriminant analysis, logistic regression and survival analysis play a crucial role in Business Intelligence. These predictive analytical tools exploit patterns found in historical data to make predictions about future events. In this paper we have shown some recent developments of a few of these techniques in financial and business intelligence applications like fraud detection, bankruptcy prediction and credit rating scoring.
An Ann-Based Auditor Decision Support System Using Benford's Law, Sukanto Bhattacharya, Dongming Xu, Kuldeep Kumar
An Ann-Based Auditor Decision Support System Using Benford's Law, Sukanto Bhattacharya, Dongming Xu, Kuldeep Kumar
Kuldeep Kumar
While there is a growing professional interest on the application of Benford's law and 'digit analysis' in financial fraud detection, there has been relatively little academic research to demonstrate its efficacy as a decision support tool in the context of an analytical review procedure pertaining to a financial audit. We conduct a numerical study using a genetically optimized artificial neural network. Building on an earlier work by others of a similar nature, we assess the benefits of Benford's law as a useful classifier in segregating naturally occurring (i.e. non-concocted) numbers from those that are made up. Alongside the frequency of …