An interactive tool for visualizing and analyzing spatio-temporal data

Türk, Alican and Balcısoy, Selim and Bozkaya, Burçin (2015) An interactive tool for visualizing and analyzing spatio-temporal data. In: Bozkaya, Burçin and Singh, Vivek Kumar, (eds.) Geo-Intelligence and Visualization through Big Data Trends. IGI Global, Hershey, PA, pp. 121-149. ISBN 9781466684652 (Print) 9781466684669 (Online)

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Spatio-temporal data analysis has gained a degree of importance with the emergence of widespread location sensor technologies and applications generating data from activities such as location based GSM services and credit card transactions recorded by POS machines. By analyzing large-scale spatio-temporal data, companies can perform quality control for their services, and predict customer behavior. In this chapter, we introduce an interactive and configurable tool that effectively visualizes spatio-temporal data using two-dimensional cluster heat maps along with temporal histograms. We divide each dataset into geographical grids, cluster data within each grid, visualize clusters as heat maps, and finally calculate similarity scores between pairs of map images to help detect recurring patterns. We employ the tool in analyzing activity data of a GSM operator's friend-finder service and credit card transaction data of Akbank, a major bank in Turkey. We report examples of patterns observable using our tool, that are not otherwise observable.
Item Type: Book Section / Chapter
Divisions: Sabancı Business School
Sabancı Business School > Operations Management and Information Systems
Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Selim Balcısoy
Date Deposited: 21 Dec 2015 14:29
Last Modified: 02 Aug 2019 16:29

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