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   Articles with "spatiotemporal data" as a keyword



Machine learning to detect schedules using spatiotemporal data of behavior: A proof of concept

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recommendations! Published in 2025 at "Journal of the Experimental Analysis of Behavior"

DOI: 10.1002/jeab.70029

Abstract: Traditionally, the experimental analysis of behavior has relied on the single discrete response paradigm (e.g., key pecks, lever presses, screen clicks) to identify behavioral patterns. However, the development and availability of new technology allow researchers… read more here.

Keywords: detect schedules; using spatiotemporal; machine learning; spatiotemporal data ... See more keywords
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Spatiotemporal data mining: a survey on challenges and open problems

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recommendations! Published in 2021 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-021-09994-y

Abstract: Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. Several available surveys capture STDM advances and report a wealth of important progress in this field. However, STDM challenges and… read more here.

Keywords: survey challenges; data mining; mining survey; spatiotemporal data ... See more keywords

Uncertain spatiotemporal data modeling and algebraic operations based on XML

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recommendations! Published in 2017 at "Earth Science Informatics"

DOI: 10.1007/s12145-017-0322-6

Abstract: The problem of modeling and operating spatiotemporal data has received a great deal of interest, due to its various applications in the real world such as GIS and sensor database. A wide range of work… read more here.

Keywords: algebraic operations; modeling algebraic; based xml; spatiotemporal data ... See more keywords

Transformation of fuzzy spatiotemporal data from XML to object-oriented database

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recommendations! Published in 2018 at "Earth Science Informatics"

DOI: 10.1007/s12145-018-0342-x

Abstract: The rapid development of the Internet promotes that XML is increasingly accepted as a medium for integrating and exchanging data. Meanwhile, object-oriented database with many excellent properties has been applied more and more widely. In… read more here.

Keywords: fuzzy spatiotemporal; spatiotemporal data; object oriented; oriented database ... See more keywords
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Analysis of spatiotemporal data relationship using information granules

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recommendations! Published in 2017 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-015-0386-x

Abstract: Data analysis especially data with space and time feature in a human-centric way requires interpretable representation of data. With this motivation, we present a granular way of data analysis in which the data and the… read more here.

Keywords: data relationship; information granules; relationship using; information ... See more keywords

Hierarchical measurement strategy for cost-effective interpolation of spatiotemporal data in manufacturing

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recommendations! Published in 2019 at "Journal of Manufacturing Systems"

DOI: 10.1016/j.jmsy.2019.09.009

Abstract: Abstract High-resolution spatiotemporal data is crucial for characterizing, modeling, and monitoring the space–time dynamics of complex systems in manufacturing. However, the acquisition of such data is generally expensive and time-consuming. Spatiotemporal interpolation aims to predict… read more here.

Keywords: measurement strategy; spatiotemporal data; measurement; interpolation ... See more keywords

Multidimensional Feature Explorer for Unbalanced Spatiotemporal Data

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recommendations! Published in 2019 at "Earth and Space Science"

DOI: 10.1029/2018ea000514

Abstract: Feature analysis of weak nonlinear signals from geographic spatiotemporal data has received increasing attention. Most existing signal processing methods cannot effectively perform comprehensive feature analysis because of the multiple dimensions and unbalance of spatiotemporal data.… read more here.

Keywords: spatiotemporal data; multidimensional feature; feature; feature analysis ... See more keywords

Stop motion: using high resolution spatiotemporal data to estimate and locate stationary and movement behaviour in an office workplace.

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recommendations! Published in 2021 at "Ergonomics"

DOI: 10.1080/00140139.2021.1980115

Abstract: Prolonged periods of stationary behaviour, a common occurrence in many office workplaces, is linked with a range of physical disorders. Investigating the physical context of this behaviour may be a key to developing effective interventions.… read more here.

Keywords: office; spatiotemporal data; workplace; estimate locate ... See more keywords
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Spatiotemporal Data-Adaptive Clustering Algorithm: An Intelligent Computational Technique for City Big Data

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recommendations! Published in 2021 at "Annals of the American Association of Geographers"

DOI: 10.1080/24694452.2021.1935207

Abstract: The emerging paradigm of the modern city demands big data analytics in urban studies. Data mining techniques for big data have the potential to ascertain strategic insights for current and future c... read more here.

Keywords: big data; city; clustering algorithm; spatiotemporal data ... See more keywords

Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3596680

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective interventions. To bridge this gap, we review causal machine learning (CML) techniques… read more here.

Keywords: causal machine; machine learning; spatiotemporal data; causal ... See more keywords

A Novel Spatiotemporal Data Low-Rank Imputation Approach for Traffic Sensor Network

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3172447

Abstract: The Internet of Things (IoT) has enormous potential to transform the transport industry by improving passenger experiences, safety, and efficiency. However, the collected spatiotemporal data by traffic sensor network often suffer from missing values (MVs),… read more here.

Keywords: spatiotemporal data; traffic sensor; sensor network; low rank ... See more keywords