Simulation of Data Mining System Design in Database

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Abstract:

The design of data mining system in database is researched. Vast amounts of information contained in the database, and the data show the diversity of characteristics, resulting in lower efficiency of data mining in database, which database brought greater difficulties to information query. To avoid these shortcomings, database performance optimization method based on cloud computing is proposed. The model of cloud computing data relationship is established to describe the connection between related data inthe database, thus providing the basis for data query. The load state of data nodes is calculated to enable rapid information inquiryin the database. Experimental results show that using this algorithm to optimize data inquiry in database can improve the efficiency of informationinquiry indatabase effectively.

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Advanced Materials Research (Volumes 989-994)

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2020-2023

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Cline D, Egbert P. Terrain decimation through quad tree morphing. IEEE Trans. on Visualization and Computer Graphics, 2001, 7 (1): 62−69.

DOI: 10.1109/2945.910822

Google Scholar

[2] Intan R. and Mukaidono M. Generalized fuzzy rough sets by conditional probability relations [J]. International Journal of Pattern Recognition and Artificial Intelligence,2002, 16(7): 865-881.

DOI: 10.1142/s0218001402002039

Google Scholar

[3] M. Gonzalez-Audicana, J.L. Saleta, R.G. Catal, and R. Garcia. Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposi-tion[J]. IEEE Transactions on Geoscience and Remote Sensing. 2004, 1, 42(6). 1291-1299.

DOI: 10.1109/tgrs.2004.825593

Google Scholar

[4] Tham J Y, Shen L, Lee S L, Tan H H. A generalapproach for analysis and application of discre-te multi-wavelettransforms[J]. IEEE Transactions on SignalProcessing, 2000, 48(2) : 457~464.

Google Scholar

[5] Luciano Alparone, Stefano Baronti. A Global Quality Measurement of Pan- Sharpened Multi-spectral Imagery [J]. Geoscience and Remote Sensing Letters 2004, 10: 313-317.

DOI: 10.1109/lgrs.2004.836784

Google Scholar

[6] Wei Xindan. Simulation Research on the Fuzzy C Algorithm In Network Intrusion Protection [J]. Bulletin of Science and Technology. 2012; 28(12): 221-223.

Google Scholar