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Data Quality for the Information Age
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ICSE '76 Proceedings of the 2nd international conference on Software engineering
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ICCI '04 Proceedings of the Third IEEE International Conference on Cognitive Informatics
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AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
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Intelligent Decision Technologies
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IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
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KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
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WSEAS Transactions on Computers
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ACA'12 Proceedings of the 11th international conference on Applications of Electrical and Computer Engineering
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Data preparation is an important and critical step in neural network modeling for complex data analysis and it has a huge impact on the success of a wide variety of complex data analysis tasks, such as data mining and knowledge discovery. Although data preparation in neural network data analysis is important, some existing literature about the neural network data preparation are scattered, and there is no systematic study about data preparation for neural network data analysis. In this study, we first propose an integrated data preparation scheme as a systematic study for neural network data analysis. In the integrated scheme, a survey of data preparation, focusing on problems with the data and corresponding processing techniques, is then provided. Meantime, some intelligent data preparation solution to some important issues and dilemmas with the integrated scheme are discussed in detail. Subsequently, a cost-benefit analysis framework for this integrated scheme is presented to analyze the effect of data preparation on complex data analysis. Finally, a typical example of complex data analysis from the financial domain is provided in order to show the application of data preparation techniques and to demonstrate the impact of data preparation on complex data analysis.