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   Articles with "type data" as a keyword



Potential mechanisms related to the spatial synchrony of phytoplankton is dependent on the type of data

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recommendations! Published in 2019 at "Hydrobiologia"

DOI: 10.1007/s10750-019-04009-y

Abstract: Spatial synchrony occurs when the temporal dynamics of local populations are correlated. Correlated environmental variations (Moran effect), dispersal, and trophic interactions are theoretically the main mechanisms underlying population synchrony. We estimated spatial synchrony for total… read more here.

Keywords: spatial synchrony; type data; potential mechanisms; synchrony ... See more keywords
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Time-Aware Multi-Type Data Fusion Representation Learning Framework for Risk Prediction of Cardiovascular Diseases.

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recommendations! Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"

DOI: 10.1109/tcbb.2021.3118418

Abstract: Predicting the future risk of cardiovascular diseases from the historical Electronic Health Records (EHRs) is a significant research task in personalized healthcare fields. In recent years, many deep neural network-based methods have emerged, which model… read more here.

Keywords: representation; data fusion; time; time aware ... See more keywords

Enabling Verifiable Privacy-Preserving Multi-Type Data Aggregation in Smart Grids

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recommendations! Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"

DOI: 10.1109/tdsc.2021.3124546

Abstract: In this article, we analyze the inherent characteristic of smart grid systems, where we observe that a smart meter always generates different types of electricity consumption data for one user, and a control center (CC)… read more here.

Keywords: privacy preserving; verifiable privacy; type data; multi type ... See more keywords

Multivariate semiparametric control charts for mixed-type data

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recommendations! Published in 2023 at "Statistical Methods in Medical Research"

DOI: 10.1177/09622802221142528

Abstract: A useful tool that has gained popularity in the Quality Control area is the control chart which monitors a process over time, identifies potential changes, understands variations, and eventually improves the quality and performance of… read more here.

Keywords: mixed type; control; multivariate semiparametric; type data ... See more keywords

Distribution-free control charts for mixed-type data based on rank of interpoint distances

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recommendations! Published in 2025 at "Statistical Methods in Medical Research"

DOI: 10.1177/09622802251316964

Abstract: Multivariate control charts have found wide application in healthcare, yet they primarily cater to continuous or categorical variables. However, the emergence of mixed-type data has sparked interest in adapting traditional control charts to handle such… read more here.

Keywords: mixed type; control; distribution free; control charts ... See more keywords

Use of mixed-type data clustering algorithm for characterizing temporal and spatial distribution of biosecurity border detections of terrestrial non-indigenous species

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recommendations! Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0272413

Abstract: Appropriate inspection protocols and mitigation strategies are a critical component of effective biosecurity measures, enabling implementation of sound management decisions. Statistical models to analyze biosecurity surveillance data are integral to this decision-making process. Our research… read more here.

Keywords: use mixed; data clustering; mixed type; type data ... See more keywords

A Memory-Efficient Encoding Method for Processing Mixed-Type Data on Machine Learning

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recommendations! Published in 2020 at "Entropy"

DOI: 10.3390/e22121391

Abstract: The most common machine-learning methods solve supervised and unsupervised problems based on datasets where the problem’s features belong to a numerical space. However, many problems often include data where numerical and categorical data coexist, which… read more here.

Keywords: type data; machine learning; mixed type; proposal ... See more keywords

Advancing Spectral Clustering for Categorical and Mixed-Type Data: Insights and Applications

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recommendations! Published in 2024 at "Mathematics"

DOI: 10.3390/math12040508

Abstract: This study focuses on adapting spectral clustering, a numeric data-clustering technique, for categorical and mixed-type data. The method enhances spectral clustering for categorical and mixed-type data with novel kernel functions, showing improved accuracy in real-world… read more here.

Keywords: mixed type; clustering categorical; categorical mixed; spectral clustering ... See more keywords