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Prediction is one of the most attractive aspects in data mining. Link prediction has recently attracted the attention of many researchers as an effective technique to be used in social network analysis to understand the associations between nodes in social communities. It has been shown in the literature that the link prediction technique is limited to predict the existence of the links in the future...
Knowledge discovery in financial databases has important implications. Decision making process on financial datasets is known to be difficult because of the complex knowledge domain and specific statistical characteristics of the data. In this paper, we investigate the decision making problem on financial datasets such as stock market fluctuations by means of financial ratio measurements while maintaining...
Since the business environment is getting increasingly dynamic and complex, the relevant process models in the environment are becoming more complicated. This might easily confuse business experts and lead them to misunderstand the models. Business experts are expecting a simple way to communicate and collaborate with the model developers during business process development and use. Today, enterprise...
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