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Title: Economic resource relational network access in web-based graphical user interfaces
Authors: Tan, Janet;Jan, Jihn-Fa
Contributors: 地政學系
Keywords: Cluster analysis;Competition;Data visualization;Graphic methods;Graphical user interfaces;Industrial research;Planning;Search engines;User interfaces;Web crawler;Websites;Business tools;Competitive advantage;Economic resources;Financial reporting;Geo-spatial;Industrial resources;Industrial supports;Spatiotemporal analysis;Big data
Date: 2016-10
Issue Date: 2017-08-03 14:18:43 (UTC+8)
Abstract: This research identifies a relational map of industrial resources with weighted relations using divisions of categories and financial reporting to create an easy means of searching comprehensive data sets. This research answers questions that industrial users such as large and small enterprises may have for finding their locational advantages in terms of financial linkages, tooling, industrial supports, policy, and cluster resources to improve their sustainability and innovations. The knowledge of resource access is critical for the application of needed information for business planning and expansion. The question can be resolved by utilizing graph-based geospatial network resource frameworks, by applying current technology and tooling, to achieve the relational data identification and framing. It answers the question of providing graphical tools for locational resources to construct competitive advantages based on industrial categorization for policy makers, researchers, and practitioners. The delivery of this project is to construct a web-based graphical search engine with spatiotemporal analysis and data visualization capabilities. © 2016 IEEE.
Relation: Proceedings of the 2016 International Conference on Virtual Systems and Multimedia, VSMM 2016,
22nd International Conference on Virtual Systems and Multimedia, VSMM 2016; Sunway University, Faculty of Arts, Faculty of Science and TechnologyKuala Lumpur; Malaysia; 17 October 2016 到 21 October 2016; 類別編號CFP16137-ART; 代碼 126637
Data Type: conference
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