Titlebook: Business Intelligence Techniques; A Perspective from A Murugan Anandarajan,Asokan Anandarajan,Cadambi A. Book 2004 Springer-Verlag Berlin

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Online Analytical Processing in Accounting,ef history of OLAP. Then we define OLAP. We move on to analyze various types of OLAP- the Relational OLAP (ROLAP), the Multi-dimensional OLAP (MOLAP), the Hybrid OLAP (HOLAP) and the Desktop OLAP (DOLAP). We discuss some applications of OLAP tools in various areas of accounting. Finally, through a s

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Bankruptcy Prediction Using Neural Networks,y is threefold. First, we use only financially stressed firms in our control sample. This sampling enables the models to more closely approximate the actual decision processes of auditors and other interested parties. Second, we develop a more parsimonious model using qualitative “bad news” variable

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Visualization of Patterns in Accounting Data with Self-organizing Maps,s have already been applied in many different business areas; and they can be used for prediction, classifying, and clustering. They can learn, remember, and compare complex patterns. This chapter shows how a neural network, especially Kohonen’s self-organizing map (SOM), can be used in visualizatio

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Alignment of AIS with Business Intelligence Requirements,nization’s needs for conducting business intelligence activities. The present research identifies sources of requirements for business intelligence activities that are contingent on the degree of organizational formalization, information interdependence among functional areas, and dependence in inte