Research on Data Mining in the Information Network Application

Xin Zhao; Yan Hong Huangfu

doi:10.4028/www.scientific.net/AMM.713-715.1839

Paper Titles

Research of Orange Quality Classification Technology Based on BP Neural Network Algorithm
p.1821

Research of Topology Optimization of Nodal Density Based on Bilinear Interpolation
p.1825

Research on Automatic Text Classification Algorithm Based on ITF-IDF and KNN
p.1830

Research on Bifurcation of Asymmetric System Based on Second-Order Averaging Method
p.1835

Research on Data Mining in the Information Network Application
p.1839

Research on Digital Watermarking Algorithm Based on Discrete Wavelet Transform and Singular Value Decomposition
p.1843

Research on Gesture Speed Estimation Model in 3D Interactive Interface
p.1847

Research on Matching Pair Purification Methods of Image Based on SIFT Algorithm
p.1851

Research on Nonlinear Approximation Model of Radial Basis Function Neural Network Trained Using Artificial Fish Swarm Algorithm with Adaptive Adjustment
p.1855

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Research on Data Mining in the Information Network Application

Abstract:

Turn of the century, with the rapid development of database and network technology, we produce and the ability to collect data has been rapidly increasing, a large amount of data stored in databases and data warehouses, we have been submerged in the vast ocean of data and information. People need to have a new, more effective means to a variety of large amounts of data mining in order to realize their potential, data mining is to generate and rapidly developed applications in such environments, it appears to automatically and intelligently put massive data transformation provides a means for useful information and knowledge. This article will combining data mining and e-commerce, introduced the data in e-commerce information platform mining methods, so as to provide reference for the information network of employees, in order to better analyze the hidden relationships between data and model, master user preferences, provide personalized marketing decisions for decision support network platform, to reduce the risk.