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Fast and Accurate Time-Series Clustering
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A new correlation‐based fuzzy logic clustering algorithm for FMRI
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Efficient similarity search in sequence databases
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Pattern Recognition with Fuzzy Objective Function Algorithms
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Iterative Incremental Clustering of Time Series
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The Planar k-Means Problem is NP-Hard
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Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
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Detecting Leaders from Correlated Time Series
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Shape-Based Clustering for Time Series Data
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Cluster analysis and mathematical programming
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Indexing Multidimensional Time-Series
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Hierarchical structure in financial markets
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Exact indexing of dynamic time warping
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Clustering of time-series subsequences is meaningless: implications for previous and future research
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Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm
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Characteristic-Based Clustering for Time Series Data
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Experimental comparison of representation methods and distance measures for time series data
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CID: an efficient complexity-invariant distance for time series
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Time series classification with ensembles of elastic distance measures
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Scalable time series classification
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Fast and Exact Warping of Time Series Using Adaptive Segmental Approximations
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NP-hardness of Euclidean sum-of-squares clustering
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A new definition of neighborhood of a point in multi-dimensional space
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On The Marriage of Lp-norms and Edit Distance
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Clustering of time series data—a survey
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A survey of kernel and spectral methods for clustering
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A global averaging method for dynamic time warping, with applications to clustering
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A local mean-based nonparametric classifier
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Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment
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On the use of neighbourhood-based non-parametric classifiers
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An Introduction to Harmonic Analysis
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Reduction Techniques for Instance-Based Learning Algorithms
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On Clustering Validation Techniques
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Mining of Moving Objects from Time-Series Images and its Application to Satellite Weather Imagery
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The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance
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Objective Criteria for the Evaluation of Clustering Methods
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On the Complexity of Multiple Sequence Alignment
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An Algorithm for the Machine Calculation of Complex Fourier Series
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A Local Mean-Based k-Nearest Centroid Neighbor Classifier
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Nonlinear alignment and averaging for estimating the evoked potential
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An Empirical Comparison of Dissimilarity Measures for Time Series Classification
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Discovering clusters in motion time-series data
inferredcites →https://doi.org/10.1109/ecticon.2009.5137128openalex-snapshot
Shape averaging under Time Warping
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Efficient time series matching by wavelets
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Discovering similar multidimensional trajectories
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A Multiresolution Symbolic Representation of Time Series
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SpADe: On Shape-based Pattern Detection in Streaming Time Series
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Index-based Most Similar Trajectory Search
inferredcites →https://doi.org/10.1109/icde.2007.368967openalex-snapshot
Similarity Match Over High Speed Time-Series Streams
inferredcites →https://doi.org/10.1109/icdm.2001.989529openalex-snapshot
Distance measures for effective clustering of ARIMA time-series
inferredcites →https://doi.org/10.1109/icdm.2002.1184037openalex-snapshot
Mixtures of ARMA models for model-based time series clustering
inferredcites →https://doi.org/10.1109/icdm.2006.99openalex-snapshot
Local Correlation Tracking in Time Series
inferredcites →https://doi.org/10.1109/icdm.2011.146openalex-snapshot
Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data
inferredcites →https://doi.org/10.1109/icdm.2012.26openalex-snapshot
Clustering Time Series Using Unsupervised-Shapelets
inferredcites →https://doi.org/10.1109/icdm.2014.27openalex-snapshot
Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification
inferredcites →https://doi.org/10.1109/icdm.2014.52openalex-snapshot
Time Series Join on Subsequence Correlation
inferredcites →https://doi.org/10.1109/icdm.2016.0161openalex-snapshot
Prefix and Suffix Invariant Dynamic Time Warping
inferredcites →https://doi.org/10.1109/icpr.2000.906187openalex-snapshot
Classifier design based on the use of nearest neighbor samples
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Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms
inferredcites →https://doi.org/10.1109/jproc.2004.840301openalex-snapshot
The Design and Implementation of FFTW3
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Dynamic programming algorithm optimization for spoken word recognition
inferredcites →https://doi.org/10.1109/tkde.2012.88openalex-snapshot
The Move-Split-Merge Metric for Time Series
inferredcites →https://doi.org/10.1109/tkde.2013.10openalex-snapshot
Durable Queries over Historical Time Series
inferredcites →https://doi.org/10.1126/science.1242072openalex-snapshot
Clustering by fast search and find of density peaks
inferredcites →https://doi.org/10.1137/1.9781611972740.2openalex-snapshot
Making Time-series Classification More Accurate Using Learned Constraints
inferredcites →https://doi.org/10.1137/1.9781611972832.64openalex-snapshot
Time Series Classification under More Realistic Assumptions
inferredcites →https://doi.org/10.1137/1.9781611973440.60openalex-snapshot
Ensembles of Elastic Distance Measures for Time Series Classification
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LOCAL FEATURE EXTRACTION AND ITS APPLICATIONS USING A LIBRARY OF BASES
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A COMBINATION SCHEME FOR FUZZY CLUSTERING
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Indexing spatio-temporal trajectories with Chebyshev polynomials
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Clustering time series from ARMA models with clipped data
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Robust and fast similarity search for moving object trajectories
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An efficient and accurate method for evaluating time series similarity
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Fast subsequence matching in time-series databases
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Patterns of temporal variation in online media
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Embedding-based subsequence matching in time-series databases
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Correlating financial time series with micro-blogging activity
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Searching and mining trillions of time series subsequences under dynamic time warping
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Efficiently supporting ad hoc queries in large datasets of time sequences
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Efficiently supporting ad hoc queries in large datasets of time sequences
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Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy
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Identifying distinctive subsequences in multivariate time series by clustering
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P-Complete Approximation Problems
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Mining the stock market (extended abstract)
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Locally adaptive dimensionality reduction for indexing large time series databases
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A new approach to analyzing gene expression time series data
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Geospatial decision support for drought risk management
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Querying and mining of time series data
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An Introduction to Harmonic Analysis.
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Individual Comparisons by Ranking Methods
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Natural Scales in Geographical Patterns
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A decade of progress in indexing and mining large time series databases
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Statistical Comparisons of Classifiers over Multiple Data Sets
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Clustering of time-series subsequences is meaningless
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Finding groups in data: an introduction to cluster analysis
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Data mining: concepts and techniques
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Framework of Real-Time Forecasting of Pre-Dam Water Level in Channel-Type Reservoir Based on Mutual Information Theory and Dynamic Attention Mechanism: A Case Study of the Three Gorges Reservoir, China
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Framework of Real-Time Forecasting of Pre-Dam Water Level in Channel-Type Reservoir Based on Mutual Information Theory and Dynamic Attention Mechanism: A Case Study of the Three Gorges Reservoir, China
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COBRASTS: A New Approach to Semi-supervised Clustering of Time Series
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Multi-scale Attention Convolutional Neural Network for time series classification
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TCGAN: Convolutional Generative Adversarial Network for time series classification and clustering
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Multivariate time series clustering based on complex network
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Trend-aware time series clustering via self-attentive LSTM
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Selecting stock pairs for pairs trading while incorporating lead–lag relationship
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Characterization and prediction of InSAR-derived ground motion with ICA-assisted LSTM model
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Acoustic multiplets detection based on DBSCAN and cross-correlation
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Finding Significant Qualitative Trend Combinations for Multivariate Systems from Historical Data
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High‐Resolution Spatiotemporal Analysis of Nitrogen Balance and Use Efficiency in Chinese Annually Planted Cropland (1980–2020)
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Clustering method for time-series images using quantum-inspired digital annealer technology
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A comprehensive survey on clustering algorithms: concepts, taxonomy with nature-inspired meta-heuristic approaches and performance metrics
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Clustering of air monitoring stations in Malaysia based on PM10 time series data by using K-shape
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Machine and deep learning as tools for monitoring forest recovery from disturbance in the western United States
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Elastic statistical analysis of interval-valued time series
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Postural and longitudinal variability in seismocardiographic signals
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Deep learning framework for time series classification based on multiple imaging and hybrid quantum neural networks
inferred← citeshttps://doi.org/10.1088/1742-6596/1486/5/052001openalex-snapshot
Topological Data Analysis of Customer Relationship
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Contralesional activity reflects compensation, while brainstem detour pathways support skilled motor recovery after stroke
inferred← citeshttps://doi.org/10.1108/k-02-2025-0474openalex-snapshot
GAX-based time series hierarchical clustering algorithm
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Two-Phase Multivariate Time Series Clustering to Classify Urban Rail Transit Stations
inferred← citeshttps://doi.org/10.1109/access.2020.3025048openalex-snapshot
A Novel Similarity Measurement and Clustering Framework for Time Series Based on Convolution Neural Networks
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A Hybrid Signal-Based Fault Diagnosis Method for Lithium-Ion Batteries in Electric Vehicles
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Efficient Time Series Clustering by Minimizing Dynamic Time Warping Utilization
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Optimum “Eye Location” Problem for Spectral Clustering With Cosine Distance
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Fuzzy C-Means Clustering for Motion Capture Tennis Time-Series Data
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Validity of Biosignal Processing System based on Haar Transform in IoT Application
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Semi-supervised Embedding for Scalable and Accurate Time Series Clustering
inferred← citeshttps://doi.org/10.1109/codit.2019.8820629openalex-snapshot
MACD-Histogram-based Fully Convolutional Neural Networks for Classifying Time Series
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Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting
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Insights into Public EV Charging Station Utilization: Implications for the Electricity Grid
inferred← citeshttps://doi.org/10.1109/fuzz45933.2021.9494420openalex-snapshot
Tennis Multivariate Time Series Clustering
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Clustering Time Series from Complex Systems using Intermittent Forces in System Decomposition
inferred← citeshttps://doi.org/10.1109/icc52391.2025.11161071openalex-snapshot
An Adaptive Time Series Prediction Framework for IoT-Enabled Green Data Center Networks
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A Hybrid Clustering Model for Lithium-ion Batteries Screening
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Similarity Measure of Time Series Based on Feature Extraction
inferred← citeshttps://doi.org/10.1109/icdabi53623.2021.9655877openalex-snapshot
Automakers Stock Price Movement Comparison under COVID-19
inferred← citeshttps://doi.org/10.1109/icdcs60910.2024.00018openalex-snapshot
Power Profile Monitoring and Tracking Evolution of System-Wide HPC Workloads
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00268openalex-snapshot
Fast Adaptive Similarity Search through Variance-Aware Quantization
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00409openalex-snapshot
An Interactive Dive into Time-Series Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icdew61823.2024.00020openalex-snapshot
Beyond the Dimensions: A Structured Evaluation of Multivariate Time Series Distance Measures
inferred← citeshttps://doi.org/10.1109/iceccme52200.2021.9591098openalex-snapshot
Clustering of Indoor Temperature Time Series
inferred← citeshttps://doi.org/10.1109/icist.2019.8836762openalex-snapshot
SDR: A Novel Similarity Measure Using Curve Fitting Method for Time Series Data Clustering
inferred← citeshttps://doi.org/10.1109/icist55546.2022.9926837openalex-snapshot
Time Series Segmentation and Clustering Method Based on Cloud Model
inferred← citeshttps://doi.org/10.1109/ickg52313.2021.00027openalex-snapshot
MTSC-GE: A Novel Graph based Method for Multivariate Time Series Clustering
inferred← citeshttps://doi.org/10.1109/ickg55886.2022.00013openalex-snapshot
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series
inferred← citeshttps://doi.org/10.1109/iconat57137.2023.10080820openalex-snapshot
Segmentation and Clustering of Time Series Data
inferred← citeshttps://doi.org/10.1109/iiaiaai55812.2022.00081openalex-snapshot
Note for Shape-Based Clustering on Stock Prices
inferred← citeshttps://doi.org/10.1109/isiber68248.2026.11469814openalex-snapshot
K-Shape Clustering Analysis of LQ45 Stock Performance Before and After the 17+8 People's Demand Protest in Indonesia
inferred← citeshttps://doi.org/10.1109/netsys.2019.8854506openalex-snapshot
Pedestrians Trajectory Prediction in Urban Environments
inferred← citeshttps://doi.org/10.1109/powertech46648.2021.9494830openalex-snapshot
k-ShapeStream: Probabilistic Streaming Clustering for Electric Grid Events
inferred← citeshttps://doi.org/10.1109/smc52423.2021.9659236openalex-snapshot
Time Series Similarity Analysis Framework in Fresh Produce Yield Forecast Domain
inferred← citeshttps://doi.org/10.1109/spmb47826.2019.9037852openalex-snapshot
Seismocardiographic Signal Variability During Regular Breathing and Breath Hold in Healthy Adults
inferred← citeshttps://doi.org/10.1109/spmb52430.2021.9672283openalex-snapshot
Effect of Normal Breathing and Breath Holding on Seismocardiographic Signals and Heart Rate
inferred← citeshttps://doi.org/10.1109/tem.2020.3016329openalex-snapshot
Can Online Consumer Reviews Signal Restaurant Closure: A Deep Learning-Based Time-Series Analysis
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ShVEEGc: EEG Clustering With Improved Cosine Similarity-Transformed Shapley Value
inferred← citeshttps://doi.org/10.1109/tfuzz.2023.3321921openalex-snapshot
A Trend-Granulation-Based Fuzzy C-Means Algorithm for Clustering Interval-Valued Time Series
inferred← citeshttps://doi.org/10.1109/tkde.2019.2937027openalex-snapshot
Tensor Multi-Elastic Kernel Self-Paced Learning for Time Series Clustering
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3146136openalex-snapshot
Soft Subspace Based Ensemble Clustering for Multivariate Time Series Data
inferred← citeshttps://doi.org/10.1109/tpwrs.2025.3535727openalex-snapshot
A Novel Clustering Method for Extracting Representative Photovoltaic Scenarios Considering Power, Energy, and Variability
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A Fast Semi-Supervised Clustering Framework for Large-Scale Time Series Data
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Modeling Antimicrobial Prescriptions in Scotland: A Spatiotemporal Clustering Approach
inferred← citeshttps://doi.org/10.1115/1.4049503openalex-snapshot
Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series
inferred← citeshttps://doi.org/10.1115/gt2020-14751openalex-snapshot
Structured Methodology for Clustering Gas Turbine Transients by Means of Multi-Variate Time Series
inferred← citeshttps://doi.org/10.1137/19m1255781openalex-snapshot
Tight Hardness Results for Consensus Problems on Circular Strings and Time Series
inferred← citeshttps://doi.org/10.1145/3340964.3340982openalex-snapshot
Local Pair and Bundle Discovery over Co-Evolving Time Series
inferred← citeshttps://doi.org/10.1145/3356995.3364537openalex-snapshot
Spatio-Temporal Clustering of Traffic Data with Deep Embedded Clustering
inferred← citeshttps://doi.org/10.1145/3358528.3358584openalex-snapshot
Big Data Service Request Prediction Based on Historical Behavior Time Series
inferred← citeshttps://doi.org/10.1145/3448016.3450574openalex-snapshot
Accelerating Product Quantization Query Execution Runtime
inferred← citeshttps://doi.org/10.1145/3514221.3526183openalex-snapshot
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification
inferred← citeshttps://doi.org/10.1145/3637528.3671714openalex-snapshot
Sketch-Based Replay Projection for Continual Learning
inferred← citeshttps://doi.org/10.1145/3708359.3712076openalex-snapshot
Cluster-Based Approach for Visual Anomaly Detection in Multivariate Welding Process Data Supported by User Guidance
inferred← citeshttps://doi.org/10.1145/3725258openalex-snapshot
A Structured Study of Multivariate Time-Series Distance Measures
inferred← citeshttps://doi.org/10.1145/3725357openalex-snapshot
SPARTAN: Data-Adaptive Symbolic Time-Series Approximation
inferred← citeshttps://doi.org/10.1145/3725420openalex-snapshot
Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data
inferred← citeshttps://doi.org/10.1145/3802074openalex-snapshot
HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series
inferred← citeshttps://doi.org/10.1145/3802090openalex-snapshot
MUFASA: Fast and Accurate Multivariate Time-Series Clustering
inferred← citeshttps://doi.org/10.1145/3802119openalex-snapshot
The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis]
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Integrating Optimized Multiscale Entropy Model with Machine Learning for the Localization of Epileptogenic Hemisphere in Temporal Lobe Epilepsy Using Resting-State fMRI
inferred← citeshttps://doi.org/10.1177/03611981211015259openalex-snapshot
Exploring Taxi Demand Distribution of Comprehensive Land-Use Patterns Using Online Car-Hailing Data and Points of Interest in Chengdu, China
inferred← citeshttps://doi.org/10.1177/03611981251341324openalex-snapshot
Impact of COVID-19 on Experienced Service Reliability Gap and its Changes Over Time in Public Transport
inferred← citeshttps://doi.org/10.1186/s11782-020-00089-zopenalex-snapshot
Building stock market resilience through digital transformation: using Google trends to analyze the impact of COVID-19 pandemic
inferred← citeshttps://doi.org/10.1186/s12987-022-00311-5openalex-snapshot
k-Shape clustering for extracting macro-patterns in intracranial pressure signals
inferred← citeshttps://doi.org/10.14515/monitoring.2022.1.1792openalex-snapshot
Образовательные траектории российских учащихся после 9-го класса в 2000—2017 гг.: типы региональных ситуаций и предикторы различий
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Decomposed bounded floats for fast compression and queries
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Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances
inferred← citeshttps://doi.org/10.14778/3611479.3611536openalex-snapshot
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series
inferred← citeshttps://doi.org/10.14778/3611540.3611622openalex-snapshot
Odyssey: An Engine Enabling the Time-Series Clustering Journey
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BURST: Rendering Clustering Techniques Suitable for Evolving Streams
inferred← citeshttps://doi.org/10.14778/3749646.3749699openalex-snapshot
TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection
inferred← citeshttps://doi.org/10.14778/3749646.3749700openalex-snapshot
Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods
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Diffeomorphic transformations for time series analysis: An efficient approach to nonlinear warping.
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Hierarchical Clustering of Time Series Based on Linear Information Granules
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Resilience Evaluation of Automakers after 2008 Financial Crisis by UMAP
inferred← citeshttps://doi.org/10.18178/jtle.8.2.34-44openalex-snapshot
Clustering Mining of Urban Traffic Flow Based on CVAE
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Fuzzy C-Means Clustering for Tennis Multivariate Time-Series
inferred← citeshttps://doi.org/10.23919/ccc55666.2022.9902786openalex-snapshot
Upcoming trend prediction from historical time series using Bayesian estimation
inferred← citeshttps://doi.org/10.23919/ccc64809.2025.11178500openalex-snapshot
Clustering of Autoregressive Signals Driven by Non-Gaussian Noise in a System Identification Perspective
inferred← citeshttps://doi.org/10.23919/chicc.2018.8482745openalex-snapshot
I-CFSFDP: A Robust and High Accuracy Clustering Method Based on CFSFDP
inferred← citeshttps://doi.org/10.2477/jccj.2021-0014openalex-snapshot
Performance Research of Clustering Methods for Detecting State Transition Trajectories in Hemoglobin
inferred← citeshttps://doi.org/10.33258/birci.v5i1.4374openalex-snapshot
Time-Series Clustering Benchmark on Regional Economic Indicator
inferred← citeshttps://doi.org/10.3389/fbuil.2026.1872316openalex-snapshot
Time series clustering reveals three evolution patterns of duty-related crimes in construction engineering
inferred← citeshttps://doi.org/10.3389/fenrg.2022.893492openalex-snapshot
Machine Learning–Driven Deduction Prediction Methodology for Power Grid Infrastructure Investment and Planning
inferred← citeshttps://doi.org/10.3389/fnhum.2025.1587118openalex-snapshot
Effects of sliding techniques on lower limb biomechanics and muscle synergy during curling delivery: a focus on joint kinetics and muscle coordination
inferred← citeshttps://doi.org/10.3390/a17020061openalex-snapshot
Efficient Time-Series Clustering through Sparse Gaussian Modeling
inferred← citeshttps://doi.org/10.3390/appliedmath5040144openalex-snapshot
Latent Quotient Space for Extreme Point Neighborhood Applied over Discrete Signal Time Series of MEG Recordings
inferred← citeshttps://doi.org/10.3390/asi9080159openalex-snapshot
Functional Classification and Spatio-Temporal Heterogeneity of Rail Transit Stations: A Multi-Scale Feature Fusion Approach
inferred← citeshttps://doi.org/10.3390/data6060055openalex-snapshot
Machine Learning-Based Algorithms to Knowledge Extraction from Time Series Data: A Review
inferred← citeshttps://doi.org/10.3390/e24070950openalex-snapshot
Institution Publication Feature Analysis Based on Time-Series Clustering
inferred← citeshttps://doi.org/10.3390/fi13050112openalex-snapshot
Exploring the Roles of Local Mobility Patterns, Socioeconomic Conditions, and Lockdown Policies in Shaping the Patterns of COVID-19 Spread
inferred← citeshttps://doi.org/10.3390/jtaer19030081openalex-snapshot
Analyzing the Dynamics of Customer Behavior: A New Perspective on Personalized Marketing through Counterfactual Analysis
inferred← citeshttps://doi.org/10.3390/land11060923openalex-snapshot
LSTM-Based Prediction of Mediterranean Vegetation Dynamics Using NDVI Time-Series Data
inferred← citeshttps://doi.org/10.3390/math10111794openalex-snapshot
Singular Spectrum Analysis of Tremorograms for Human Neuromotor Reaction Estimation
inferred← citeshttps://doi.org/10.3390/s25072026openalex-snapshot
Clustering and Interpretability of Residential Electricity Demand Profiles
inferred← citeshttps://doi.org/10.3390/sym18071176openalex-snapshot
Geometric Invariants: Theory for Application to Financial Time Series
inferred← citeshttps://doi.org/10.3390/w17070968openalex-snapshot
Spatiotemporal Classification of Short-Duration Heavy Rainfall in Beijing Using K-Shape Clustering
inferred← citeshttps://doi.org/10.3934/aci.2024016openalex-snapshot
Clustering district heating customers based on load profiles
inferred← citeshttps://doi.org/10.48550/arxiv.1906.03956openalex-snapshot
Topological Data Analysis of Time Series Data for B2B Customer Relationship Management
inferred← citeshttps://doi.org/10.48550/arxiv.1908.09219openalex-snapshot
Heterogeneous Relational Kernel Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2002.04187openalex-snapshot
Exact Indexing of Time Series under Dynamic Time Warping
inferred← citeshttps://doi.org/10.48550/arxiv.2007.11985openalex-snapshot
Shape-CD: Change-Point Detection in Time-Series Data with Shapes and Neurons
inferred← citeshttps://doi.org/10.48550/arxiv.2104.09417openalex-snapshot
Local Pair and Bundle Discovery over Co-Evolving Time Series
inferred← citeshttps://doi.org/10.48550/arxiv.2107.01310openalex-snapshot
Clustering of Time Series Data with Prior Geographical Information
inferred← citeshttps://doi.org/10.51408/1963-0090openalex-snapshot
Comparison of Model-Free Algorithms For Clustering GARCH Processes
inferred← citeshttps://doi.org/10.5204/thesis.eprints.212901openalex-snapshot
Unsupervised visual perception-based representation learning for time-series and trajectories
inferred← citeshttps://doi.org/10.5445/ksp/1000098012/12openalex-snapshot
Decision Support for Road Safety: Development of Key Performance Indicators for Police Analysts
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