[HTML][HTML] Efficient algorithms for range mode queries in the big data era

C Karras, L Theodorakopoulos, A Karras, GA Krimpas - Information, 2024 - mdpi.com
The mode is a fundamental descriptive statistic in data analysis, signifying the most frequent
element within a dataset. The range mode query (RMQ) problem expands upon this concept …

Spatio-temporal data clustering using deep learning: A review

R Aparna, SM Idicula - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Spatial and temporal information are recorded with each measurement in so-called
spatiotemporal (ST) data. The space-time information added to each measurement makes …

Similarity-based historical input selection to predict irregular holiday traffics in real-time

P Kim, J Park, S Lee, J Kim - … Conference on Big Data (Big Data …, 2022 - ieeexplore.ieee.org
The main contribution of this paper is to present a straightforward yet effective historical input
selection method for real-time traffic forecasting. Historical inputs are crucial elements in …

시공간상관관계군집화와시계열유사성을활용한PM10 자료분석

김성돈, 전용진, 오해준 - 한국데이터정보과학회지, 2021 - dbpia.co.kr
최근 미세먼지나 강수량 자료 등 시간과 공간에 따라 수집되는 시공간 자료에 대한 관심이
증가하고 있다. Gao 등 (2019) 은 공간 자료의 군집에 많이 쓰이는 Moran's I 와 Local Moran's I …

[PDF][PDF] Spatio-temporal Feature Extraction of Magnetic Patterns for Indoor Positioning.

E Ju, J Jang, J Yoo - IPIN-WiP, 2023 - ceur-ws.org
Geomagnetic-based indoor positioning has been widely studied as an alternative to WiFi-
based indoor positioning systems. However, the geomagnetic-based approach is …

[PDF][PDF] 고농도오염기간잠재적오염원에따른초미세먼지농도와화학성분및산성도의공간적분포특성: 2018~ 2019 년국가대기측정망과대기환경연구소관측결과를중심으로

변명화, 박재훈, 한수빈, 김대곤, 정동희… - 한국대기환경학회지 …, 2022 - jekosae.or.kr
In this study, nationwide air quality monitoring stations were classified into three groups by
the hierarchical clustering method with PM2. 5 time-series for high PM2. 5 pollution periods …