Research and Analysis of Data Mining Based on Clustering Algorithm

Guo Sheng Lu; Chen Sheng Wang; Hai Lu Yang; Li Chang Zhao

doi:10.4028/www.scientific.net/AMM.602-605.3321

Paper Titles

Analysis on Differential Equation of Decision Model Based on Matlab Simulation
p.3301

Performance Test and Algorithm Design of Kinematics Electronic Platform Based on Nonlinear Fitting Algorithm
p.3306

The Design of Compressed Sensing Image Reconstruction Algorithm Based on Structure Priori Model
p.3311

Research on the Programming of Calculation and Analysis of the Improved Finite Element Method Based on Matlab
p.3316

Research and Analysis of Data Mining Based on Clustering Algorithm
p.3321

Design and Implementation of Instant Communication System Based on the Android Platform Terminal
p.3325

Design and Implementation of Key Technologies of Carrier Synchronization in Wireless Communication System
p.3329

Application of Grey Least Square Support Vector Machine in New Equipment Materiel Demand Prediction
p.3333

Research and Implementation of Extension Strategy Generating System
p.3338

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Research and Analysis of Data Mining Based on...

Research and Analysis of Data Mining Based on Clustering Algorithm

Abstract:

Data mining is the frontier research topic in the field of information processing and database technology, is recognized as one of the most promising key technologies. Data mining is a collection of statistics, machine learning, database, pattern recognition, artificial intelligence and other disciplines, which is a new inter-discipline. Data mining put more emphasis on discovering implicit knowledge in huge amounts of data and the scalability of the algorithm, and is a technology very close to the actual use, with high technical content, bigger implementation difficulty.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3321-3324

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3321

Citation:

Cite this paper

Online since:

August 2014

Authors:

Guo Sheng Lu*, Chen Sheng Wang, Hai Lu Yang, Li Chang Zhao

Keywords:

Analysis, Clustering Algorithm, Data Mining (DM), Research

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Guha S，Rastogi R，Sim K．CURE：An eficient clustering algorithm for large dambases In Proc，of the ACM SlGMOD Confefence。Seattle，W A。1998：73— 84.

Google Scholar

[2] Boley D L．Principal direction divisive partitioning．Data Mining andKnowledge Discovery, 1998，2(4)：325—344.

Google Scholar

[3] Cheeseman P，Smtz J．Bayesian classification(AutoClass)：theory an d results．Fayyad U M. Pia~tsky—Shapiro G，Smyth P，and Uthurusam y R. (Eds．)Advances in Knowledge Discovery and Data Mining，AAAI Press／M IT Press，1996：95— 164.

Google Scholar

[4] Y. Geng, J. Chen, K. Pahlavan, Motion detection using RF signals for the first responder in emergency operations: A PHASER project, 2013 IEEE 24nd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), London, Britain Sep. (2013).

DOI: 10.1109/pimrc.2013.6666161

Google Scholar

[5] Y. Geng, J. He, K. Pahlavan, Modeling the Effect of Human Body on TOA Based Indoor Human Tracking[J], International Journal of Wireless Information Networks 20(4), 306-317.

DOI: 10.1007/s10776-013-0227-3

Google Scholar