@inproceedings{09dd1e84ee434827a18c2bb64da0066f,
title = "An effective method for detecting outlying regions in a 2-dimensional array",
abstract = "As sensing devices and simulation programs are widely used, a large amount of output data is being generated in the form of a 2-dimensional (2D) array. To facilitate the post data processing, it is of critical importance to find anomalous or outlying elements in that array with little human intervention. In this paper, we propose an effective method for locating outlying regions in a 2D array, in which a group of adjacent elements in its entirety deviate significantly from the entire array. To find such outlying regions, we divide the array into small subarrays and build a regression model for each subarray. We then cluster subarrays that are adjacent to each other and have similar regression models into larger subarrays. After the clustering, we detect relatively small clusters as outlying regions. Our experiments confirm the effectiveness of the proposed method.",
keywords = "2-dimensional array analysis, Collective outliers, Outlier detection",
author = "Lee, \{Ki Yong\} and Suh, \{Young Kyoon\}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 4th International Conference on Big Data Applications and Services, BigDAS 2017 ; Conference date: 15-08-2017 Through 18-08-2017",
year = "2019",
doi = "10.1007/978-981-13-0695-2\_5",
language = "English",
isbn = "9789811306945",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "37--41",
editor = "Leung, \{Carson K.\} and Wookey Lee",
booktitle = "Big Data Applications and Services 2017 - The 4th International Conference on Big Data Applications and Services",
address = "Germany",
}