NDLI: Spatial Data Mining for Optimized Selection of Facility Locations in Field-based Services

Content Provider	IEEE Xplore Digital Library
Author	Zarnani, A. Rahgozar, M. Lucas, C. Taghiyareh, F.
Copyright Year	2007
Description	Author affiliation: Fac. of Electron. in Commun. Eng., Tehran Univ. (Zarnani, A.; Rahgozar, M.; Lucas, C.)
Abstract	Spatial data mining has been developed as the effective technique in many applications that involve large amounts of geo-spatial data. Many organizations provide field-based services such as delivery, field-services and emergency to their customers. Considering the geographical distribution of the customer request points, the location of facilities will have noticeable impact on the overall efficiency of the company's operations. The closer the facilities are to the customers, the sooner and cheaper will be the service provision transaction. In this paper, we empirically study the role of spatial clustering methods in such context. We have implemented and tuned some of the main spatial clustering algorithms to discover the best locations for facility establishment. A new spatial clustering algorithm is proposed that does not require the number of facilities as input. The new algorithm will determine the optimal number of facilities along with their locations based on the business context trade-offs. Many experiments are conducted to study the performance of the studied algorithms on real world and synthetic data sets. The results reveal valuable distinctions between the different methods and confirm the higher efficiency of the proposed algorithm.
Starting Page	734
Ending Page	741
File Size	9884802
Page Count	8
File Format	PDF
ISBN	1424407052
DOI	10.1109/CIDM.2007.368949
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Scalability Clustering algorithms Process control Data engineering Spatial databases Data mining Deductive databases Logistics Intelligent control
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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