Titlebook: Intelligent Knowledge; A Study beyond Data Yong Shi,Lingling Zhang,Xingsen Li Book 2015 The Author(s) 2015 Big Data.Data Mining.Domain Dri

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意外

Book 2015he book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.

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Contort

Knowledge Extraction from Support Vector Machines,hen they are not the domain experts. In this section we introduce a new method to extract knowledge with a thought inspired by the decision tree algorithm and give a formula to find the optimal attributes for rule extraction. The experimental results will show the efficiency of this method.

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希望

Book 2015gement, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the “first-order” analytic process, “second-order” analytic process and intelligent knowledge, which have not formally been addres

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同来核对

Intelligent Knowledge Acquisition and Application in Customer Churn,ancient times. With the coming of economic globalization era, followed by increasing competition, rapid technological change as well as gradually accrued scope of the strategy. The complexity of the explosive increase made only by the human brain generates policy decision-making appeared to be inadequate.

Focus-Words

https://doi.org/10.1007/978-3-662-46193-8Big Data; Data Mining; Domain Driven Approaches; Fundamental Method; Intelligent Knowledge; Multiple Crit