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DOI: 10.14569/IJACSA.2018.090530
PDF

Multiple Trips Pattern Mining

Author 1: Riaz Ahmed Shaikh
Author 2: Kamelsh Kumar
Author 3: Rafaqat Hussain Arain
Author 4: Hidayatullah Shaikh
Author 5: Imran Memon
Author 6: Safdar Ali Shah

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 5, 2018.

  • Abstract and Keywords
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Abstract: In recent years, photograph sharing is one of the most mainstream web service, for example, Flickr, trip advisor and numerous other web services. The photograph sharing web services give capacities to include Geo coordinates, tags, and user ID to photographs to make photograph organizing easily. This study focuses on Geotagged photographs and discusses an approach to recognize user multiple trips pattern, i.e., common arrangements of visits in towns and span of stay and also elucidating labels that describe the multiple trips pattern. First, we segment collection of photos into multiple trips and categorize the photos manually based on photo trips into multiple trips, themes such as Landmark, Nature, Business, Neutral and Event. Our method mines multiple trips pattern for multiple trips theme categories. The experimental result of our technique beats other methods and accurate segmentation of photo collections into numerous trips with the 85% of accuracy. The multiple trips categorize about 91% correctly using tags, photo id, titles of digital photos, user id and visited cities as features. In last, we demonstrate the motivating examples showing an application with which one can find multiple trips pattern from our datasets and other different queries visit duration, destination and multiple trips’ theme on trips.

Keywords: Multiple trips pattern mining; multiple trips classification; geo-tagging

Riaz Ahmed Shaikh, Kamelsh Kumar, Rafaqat Hussain Arain, Hidayatullah Shaikh, Imran Memon and Safdar Ali Shah, “Multiple Trips Pattern Mining” International Journal of Advanced Computer Science and Applications(IJACSA), 9(5), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090530

@article{Shaikh2018,
title = {Multiple Trips Pattern Mining},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090530},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090530},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {5},
author = {Riaz Ahmed Shaikh and Kamelsh Kumar and Rafaqat Hussain Arain and Hidayatullah Shaikh and Imran Memon and Safdar Ali Shah}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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