Sequential pattern mining of geo-tagged photos with an arbitrary regions-of-interest detection method

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• 作者：Guochen Cai ; Chihiro Hio ; Luke Bermingham ; Kyungmi Lee ; Ickjai Lee
• 关键词：Sequential pattern mining ; Geo-tagged photo ; Regions-of-interest ; Trajectory pattern mining
• 刊名：Expert Systems with Applications
• 出版年：1 June, 2014
• 年：2014
• 卷：41
• 期：7
• 页码：3514-3526
• 全文大小：5532 K

文摘

Geo-tagged photos leave trails of movement that form trajectories. Regions-of-interest detection identifies interesting hot spots where many trajectories visit and large geo-tagged photos are uploaded. Extraction of exact shapes of regions-of-interest is a key step to understanding these trajectories and mining sequential trajectory patterns. This article introduces an efficient and effective grid-based regions-of-interest detection method that is linear to the number of grid cells, and is able to detect arbitrary shapes of regions-of-interest. The proposed algorithm is combined with sequential pattern mining to reveal sequential trajectory patterns. Experimental results reveal quality regions-of-interest and promising sequential trajectory patterns that demonstrate the benefits of our algorithm.