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Support vector regression (SVR) is now a well-established method for non-stationary series forecasting, because of its good generalization ability and guaranteeing global minima. However, only using SVR hardly get satisfied accuracy for complicated frequency spectrum prediction in frequency monitor system (FMS) of high frequency radar. Empirical mode decomposition (EMD) is perfectly suitable for nonlinear...
In this paper, we propose a temporal extension to an extended ERT model and extend database temporal models to handle the fuzzy numbers. The concept of lifespan for entities and relationships is incorporated in the FTER model. We specify a fuzzy temporal query and update temporal language which is an extension from the TQuel language. The concepts of fuzzy temporal expressions, fuzzy temporal selection,...
A e-business model generally it is determined in accordance with the business, for a data warehouse model, the idea is not only to mirror the business in the model and yes to do that integrating several areas of determined domain. Using the principal concepts of business and models of data, an approach of use will be presented of software that more current used software the most used e-business software...
This paper proposes a new reversible steganographic algorithm for point-sampled geometry. To the best of our knowledge, our scheme is the first in the literature for recovering the original point-sampled model using little amount of information (two integers and 25 floating points of memory). Our scheme shows high embedding data capacity, being three times the number of points in the models. The scheme...
Data superpose will be produced when using parallel reference method to display multidimensional information, it is difficult to discover the connotative relation and model. To a certain extend, the mining of relativity among different data dimensionality is restricted. This paper proposed a kind of control algorithm, using dimensional similarity to compare dimensionality approximation and object...
This article presents a case study about data mining applied in IVR's navigation trees. Using data from a call center, the main objective is to discover patterns with information about the phone calls. Using a specific part from this information, it shows an analysis about the navigation tree of the offered service. With the WEKA, a data mining toolkit, which provides a lot of possibilities of data...
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