Titlebook: Recent Progress in Data Engineering and Internet Technology; Volume 1 Ford Lumban Gaol Conference proceedings 2013 Springer-Verlag GmbH Ber

運(yùn)氣

,Prediction Model Based on PCA - DRKM–RBF, K-means (DRKM) and Radial Basis Function (RBF) neural network. The data processed by the principal component analysis is the neural network’s input, and the RBF neural network’s hidden nodes are the centers using DRKM. The paper forecasts the cyclodextrin closure constant, and the results indicate

評(píng)論者

A Topic Detection and Tracking System with TF-Density,ws are continually being shared and stored on a previously unimaginable scale. It is now possible to access several news stories on the same topic on a single web page. In this paper, we proposed a topic detection and tracking system with a new word measurement scheme named TF-Density. TF-Density is

figment

Community Identification of Financial Market Based on Affinity Propagation,proposed message-passing-based algorithm called affinity propagation is introduced to identify stock groups. First, the similarities computed between all pairs of stocks of portfolio by considering the synchronous time evolution of their logarithm return are mapped into spatial distances. Then, the

Stable-Angina

Research on Optimization of Target Oil Wells for CO2 Huff and Puff in Yushulin Oil Well,CO. huff and puff is the key step, since it is directly related to the success or failure of CO. huff and puff measures. The influence of various factors such as remaining oil saturation, water cut, reservoir thickness, permeability, porosity and flowing bottom hole pressure (FBHP)on the effect of C

有助于

Ondines-curse

Statistical Clustering and Times Series Analysis for Bridge Monitoring Data,roaches to solve the BHM sensors reduction problem, range from univariate analysis between couples of variables [13] to carefully selecting measurement points based on specific bridge knowledge [7]. However, they are either inapplicable for interrelated nature data sets, or using too much mechanical knowledge in its process.

Obverse

paradigm

古代

Conference proceedings 2013, data grids, cloud computing, and web-based applications play vital roles, especially in business and industry, as more transactions go online and mobile. Issues related to ubiquitous computing are becoming critical. .?.Internet technology and data engineering should reinforce efficiency and effect

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