Application Research of Data Mining Technology on Growth Management of Forestry

Wen Qing Zhang

doi:10.4028/www.scientific.net/AMR.846-847.995

Paper Titles

Study on the Application of Data Mining Based on Campus Card Platform
p.977

Design and Test of Subway 3D Point Cloud Data Obtained Based on Ground 3D Laser Scanning Technology
p.981

A Robust Boundary Localization for Degraded Iris Images
p.986

Impulse Noise Suppression Method by Median Filtering with Parity Extraction
p.991

Application Research of Data Mining Technology on Growth Management of Forestry
p.995

A Method of Digital Halftoning through Approximated Optimization of Scale-Related
p.999

An Adaptive Liver Segmentation Method Based on Graph Cut and Intensity Statistics
p.1003

Stereo Reconstruction of Infrared Images Captured in Microwave Reactor
p.1007

Research on Multivariate Stream Line Inter-Relevant Successive Trees
p.1011

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847Application Research of Data Mining Technology on...

Application Research of Data Mining Technology on Growth Management of Forestry

Abstract:

A large number of data have been accumulated in our country during the long-term investigation and statistics of forestry resources, and it has become key problem to find out the relationship of the environment and forest growth from the large number of existing forestry resources data. In this paper, the data mining technology is used in planning and design of forestry resource, and the process of data mining is studied, considering data mining and design process of forestry resource decision, we firstly study data mining technology, then collect the data and perform data processing, select the algorithm of data mining, and establish Bayesian evaluation model, then explain and analyze the decision analysis of forestry results. Practice has proved that data mining methods have improved the accuracy and reliability of decision making of forestry management, and provided new theory, methods and technology for research of growth management of forestry.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

995-998

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.995

Citation:

Cite this paper

Online since:

November 2013

Authors:

Wen Qing Zhang*

Keywords:

Data Mining (DM), Forestry, Growth Management

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] UMFayyad, GGGrinstein, A. Wierse., Information visualization in data mining and knowledge discovery, Morgan Kaufmann Publishers, San Francisco, CA, (2001).

Google Scholar

[2] VSVerykios, E. Bertino, INFovino, State-of-the-art in privacy preserving datamining, SIGMOD Record, vol1, pp.50-57, (2001).

Google Scholar

[3] X. Wu, PSYu, G. Piatetsky-Shapiro, Data mining: how research meets practical development. Knowledge and Information Systems, vol 2, pp.248-261, (2003).

DOI: 10.1007/s10115-003-0101-1

Google Scholar

[4] YL Chen, CL Hsu and SC Chou, Constructing a multi-valued and multi-labeled decision tree, Expert Systems with Applications, vol2, pp.199-209, (2003).

DOI: 10.1016/s0957-4174(03)00047-2

Google Scholar

[5] Zhi-Hua Zhou, Yuan Jiang, Medical diagnosis with C4. 5 rule preceded by artificial neural network ensemble, Information Technology in Biomedicine, IEEE Transactions, pp.37-42, (2003).

DOI: 10.1109/titb.2003.808498

Google Scholar