Fractal data mining technology is based on the fractal characteristic of data set, the real data set usually exists approximate fractal characteristic in the fractal non-scaling interval. Fractal dimension can describ...
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Workflow mining is a concept in early era, it analyzes the workflow log in the control flow dimensions, to mining the actual process model, but ignores relationships among executors in workflow, hence it fails to effe...
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In order to solve the problem of high dimension in text classification, the paper proposes a method based on manifold learning and Bagging for text classification which imports manifold learning algorithm for dimensio...
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This paper constructs the background value of grey GM (1, 1) model by using Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction of the background value is the key ...
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This paper constructs the background value of grey GM (1, 1) model by using Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction of the background value is the key factor affecting prediction accuracy and applicability.
Nowadays, more and more large IT projects need to unit several entities to accomplish together, which forms project-oriented and geographically distributed virtual organizations and leads to new distributed risks. Thi...
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By introducing niche ideas based on sharing mechanism into the domain of interactive evolutionary computation, an interactive genetic algorithm based on improved sharing mechanism (ISMIGA) is developed. In the algorit...
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Service supply chain features human players as service vendor, service integrator, customer and service resource. It tends to be digitally connected, such as consulting, e-business and integrated enterprises. Our stud...
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Service supply chain features human players as service vendor, service integrator, customer and service resource. It tends to be digitally connected, such as consulting, e-business and integrated enterprises. Our study uses a formal model and simulations to develop the effect of a service supply chain on equilibrium computation. Two insights arise on how a network can obtain equilibrium computation: forming the network structure of service supply chain; exploring entities behavior and equilibrium conditions. These results highlight the importance for service supply chain of adapting its network structure to equilibrium and application.
Currently, the earlier detection, diagnosis and treatment to breast cancer still mainly depend on physicians' experience and knowledge. Case-Based Reasoning(CBR) mimics oncologists' real thinking process and t...
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ISBN:
(纸本)9783037851555
Currently, the earlier detection, diagnosis and treatment to breast cancer still mainly depend on physicians' experience and knowledge. Case-Based Reasoning(CBR) mimics oncologists' real thinking process and therefore is appropriate to the diagnosis decisionmaking. In CBR, weight derivation as a key step is commonly conducted by expert score approaches using Delphi method. The accuracy of case matching largely changes with the selection and experience of experts. In this paper, information entropy for weight determination is introduced into the CBR. We conduct experimental studies to compare the performance of Delphi method and information entropy. The results suggest that: generally, information entropy is a better approach to weight derivation.
As the capacity of independent innovation is a vital measure standard for the success of a city's construction, the goal of this paper is to analyze and comment it. In order to make the research result more object...
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