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Volumn , Issue , 2009, Pages 43-50

Geovisual analytics for self-organizing network data

Author keywords

Geospatial data sets; Geovisual analytics; Multi dimensional; Multi layer; Self organizing network; Time varying; Visualization

Indexed keywords

AUTOMATIC ALGORITHMS; CELL IDENTITY; CELLULAR RADIO NETWORKS; COST EFFECTIVE; DOMAIN EXPERTS; ERICSSON; GEO-SPATIAL DATA; GEOSPATIAL DATA SET; GEOVISUAL ANALYTICS; NEIGHBOR CELL RELATION; NETWORK OPERATOR; SELF-ORGANIZING NETWORK; TELECOM COMPANY; TIME VARYING;

EID: 72849149945     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2009.5332610     Document Type: Conference Paper
Times cited : (4)

References (22)
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  • 3
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  • 5
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    • April
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    • Guo, D.1    Gahegan, M.2    MacEachren, A.M.3    Zhou, B.4
  • 11
    • 84882545823 scopus 로고    scopus 로고
    • Exploratory visualization with multiple linked views
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    • Roberts, J.C.1
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    • R. A. Becker, S. G. Eick, and A. R. Wilks, Visualizing Network Data, in Readings in information visualization: Using vision to think, S. K. Card, J. D. Mackinlay, and B. Shneiderman, San Fransisco, CA: Morgan Kaufman, 1999, pp. 215-227.
    • R. A. Becker, S. G. Eick, and A. R. Wilks, "Visualizing Network Data," in Readings in information visualization: Using vision to think, S. K. Card, J. D. Mackinlay, and B. Shneiderman, San Fransisco, CA: Morgan Kaufman, 1999, pp. 215-227.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.