The Analysis of the Specific Network Content Search Model in Public Policy Formulation

Nan Li

doi:10.4028/www.scientific.net/AMM.513-517.2311

Paper Titles

Simulation on Task Scheduling for Multiprocessors Based on Improved Neural Network
p.2293

Convergence Proof for Unsteady Classification Model with Data Fluctuations
p.2297

Employing Generalized Bezier Tube to Smoothly Blending Tubes Whose Axes are Non-Coplanar
p.2301

Analysis on Three-Dimensional Virtual Simulation for Rationality of Large-Scale Commercial and Residential Space
p.2307

The Analysis of the Specific Network Content Search Model in Public Policy Formulation
p.2311

An Analysis on Effective Classification Method for Massive Data in Cloud Computing Environment
p.2315

The Research on Robust Detection Method for Mixed Network Architecture in 4G Networks
p.2320

Research on Multiple Access Transmission of Multimedia System Data Based on Cellular Communications
p.2324

Study on Optimization Algorithm of Hub Nodes Based on Digital Guide Technology
p.2329

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517The Analysis of the Specific Network Content...

The Analysis of the Specific Network Content Search Model in Public Policy Formulation

Abstract:

The paper focuses on the specific network contents rapid search methods in public policy formulation. When the public policies contain massive amounts of network contents, the components in the public policies will become complex. The diversity of the data features will cause obvious differences in data attribute which will lead low efficiency in searching some specific contents in public policy formulation and cause some difficulties in the search. In order to avoid the defects, this paper proposes a data mining method based on parallel Apriori algorithm which can complete the specific network contents search in public policy formulation. The experiment illustrates the application of the algorithm can optimize the contents search in public policy formulation and effectively increase the efficiency of searching some specific contents in the public policy formulation.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

2311-2314

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.2311

Citation:

Cite this paper

Online since:

February 2014

Authors:

Nan Li*

Keywords:

Network Contents, Public Policy, Search

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Skowron A, Pawlak Z. Rudiments of rough sets[J]. Information Sciences, 2007, 177: 3~27.

DOI: 10.1016/j.ins.2006.06.003

Google Scholar

[2] Skowron A, Pawlak Z. Rough sets and Boolean reasoning[J]. Information Sciences, 2007, 177: 41~73.

DOI: 10.1016/j.ins.2006.06.007

Google Scholar

[3] Yiyu Yao, Yan Zhao. Discernibility matrix simplification for constructing attribute reducts[J]. Information Sciences, 2009, 179: 867~882.

DOI: 10.1016/j.ins.2008.11.020

Google Scholar

[4] 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

[5] Raykova M, Vo B, Bellovin SM, Malkin T. Secure anonymous database search[C]. In: Sion R, ed. Proc. of the 2009 ACM Workshop on Cloud Computing Security, CCSW 2009, Co-Located with the 16th ACM Computer and Communications Security Conf., CCS2009. New York: Association for Computing Machinery, 2009. 115−126. [doi: 10. 1145/1655008. 1655025].

DOI: 10.1145/1655008.1655025

Google Scholar

[6] 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 decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing. 2004, 1, 42(6). 1291-1299.

DOI: 10.1109/tgrs.2004.825593

Google Scholar