NDLI: Research on grid based spatial outliers mining and its implementation

Content Provider	IEEE Xplore Digital Library
Author	Lin Jiaxiang Chen Chongcheng Ye Dongyi Wang Weibin
Copyright Year	2008
Description	Author affiliation: Spatial Inf. Res. Center of Fujian, Fuzhou Univ., Fuzhou, China (Lin Jiaxiang; Chen Chongcheng; Wang Weibin) \|\| Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China (Ye Dongyi)
Abstract	Integrated and deep-seated applications call for the intelligentization of spatial data processing. Spatial data mining is becoming more and more important to satisfy practical application and business intelligence. With the rapid development of distributed sharing infrastructures such as grid and web services, providing knowledge services on grid environment is becoming the trend of knowledge discovery and application technologies. This paper introduces an architecture of geographical knowledge grid platform based on globus (GeoKS-Grid), then puts forward a spatial data integration scheme by the combination of GML and WFS specification, finally, taking spatial outliers mining based on MST clustering as an example to illustrates the design and realization of knowledge service. Experimentation finds that it is feasible and practicable to extend the grid environment by adding more and more distributed high performance knowledge discovery services implemented based on data grid mechanisms and globus toolkit, to meet the requirements of application. For the application in real system, a task-oriented architecture based on KSDM is proposed and an implementation of knowledge service is introduced.
Starting Page	324
Ending Page	328
File Size	157889
Page Count	5
File Format	PDF
ISBN	9781424421961
DOI	10.1109/ISKE.2008.4730949
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Web services Clustering algorithms Service oriented architecture Data processing Grid computing Educational institutions Data mining Application software Intelligent systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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