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A neural networks are able to give solutions to complex problems in business intelligence and financial engineering due to their nonlinear processing. This paper consists of a survey of various business intelligence and financial engineering and so on applications based on the neural networks, and also a summary of the recent techniques such as still evolutionary algorithms, cellular computing, Bayesian...
This paper proposes a scheduling strategy which divides OLAM (online analytical mining) tasks into query tasks, mining tasks and updating tasks in order to improve the efficiency of BI (business intelligence) systems. OLAM mechanism is considered as the seamless integration of OLAP (online analytical processing) and data mining on data cubes, according to which the scheduling strategy focuses on....
Business intelligence (BI) is increasingly becoming a decision-making tool of great importance to organizations. However, BI-mediated information delivery is driven more by data models than by ldquomanagementrdquo decision models. The purpose of this exploratory study is to explore the possibility of modeling management decisions as a first step towards the development of decision-centric BI tools...
From the perspective of the classic theme of the game theory; the prisonerpsilas dilemma, this essay aims to discuss the phenomenon and the significance of the prisoners dilemma, as well as the implication in the enterprise competitive intelligence and the win-win cooperation in the price war. Meanwhile, this essay will prove that the price war can be avoided and cooperation will create a win-win...
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