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An Efficient Aggregation Method for the Symbolic Representation of Temporal Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Introspective Sorting and Selection Algorithms
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A mixture of generalized hyperbolic distributions
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Multivariate Time Series Classification by Combining Trend-Based and Value-Based Approximations
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Density-Based Clustering Based on Hierarchical Density Estimates
inferredcites →https://doi.org/10.1007/978-3-642-41398-8_24openalex-snapshot
1d-SAX: A Novel Symbolic Representation for Time Series
inferredcites →https://doi.org/10.1007/pl00011669openalex-snapshot
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
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WaveCluster: a wavelet-based clustering approach for spatial data in very large databases
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Benchmarking optimization software with performance profiles
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Experiencing SAX: a novel symbolic representation of time series
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ABBA: adaptive Brownian bridge-based symbolic aggregation of time series
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Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
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TrSAX—An improved time series symbolic representation for classification
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Unsupervised real-time anomaly detection for streaming data
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Robust path-based spectral clustering
inferredcites →https://doi.org/10.1093/biostatistics/kxp062openalex-snapshot
Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
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Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
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Dynamic programming algorithm optimization for spoken word recognition
inferredcites →https://doi.org/10.1109/tit.1982.1056489openalex-snapshot
Least squares quantization in PCM
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A maximum variance cluster algorithm
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Proceedings of the 2014 ACM Southeast Regional Conference
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Proceedings of the 1998 ACM SIGMOD international conference on Management of data
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Automatic subspace clustering of high dimensional data for data mining applications
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Automatic subspace clustering of high dimensional data for data mining applications
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An improved symbolic aggregate approximation distance measure based on its statistical features
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Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication
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A Review on Outlier/Anomaly Detection in Time Series Data
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Locally adaptive dimensionality reduction for indexing large time series databases
inferredcites →https://doi.org/10.1145/775047.775128openalex-snapshot
Finding surprising patterns in a time series database in linear time and space
inferredcites →https://doi.org/10.1145/882082.882086openalex-snapshot
A symbolic representation of time series, with implications for streaming algorithms
inferredcites →https://doi.org/10.1186/1471-2105-8-3openalex-snapshot
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
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Anticipatory DTW for efficient similarity search in time series databases
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hdbscan: Hierarchical density based clustering
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Scikit-learn: Machine Learning in Python
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Time Series Forecasting Using LSTM Networks: A Symbolic Approach
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Medical Signals Augmentation for Parkinson’s Disease Diagnosis in Low-Resource Settings Across Time, Activity and Patients
inferred← citeshttps://doi.org/10.1109/ei259745.2023.10513063openalex-snapshot
Power Consumption Data Compression via Shift-Invariant Dictionary Learning
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00141openalex-snapshot
PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy
inferred← citeshttps://doi.org/10.1109/icdew67478.2025.00026openalex-snapshot
MULISSE: Variable-Length Similarity Search for Multivariate Time Series
inferred← citeshttps://doi.org/10.1109/tsp.2026.3662011openalex-snapshot
LLM-ABBA: Understanding Time Series via Symbolic Approximation
inferred← citeshttps://doi.org/10.1145/3725357openalex-snapshot
SPARTAN: Data-Adaptive Symbolic Time-Series Approximation
inferred← citeshttps://doi.org/10.21105/joss.06294openalex-snapshot
fABBA: A Python library for the fast symbolic approximation of time series
inferred← citeshttps://doi.org/10.32388/wd5bowopenalex-snapshot
LLM-ABBA: Understanding Time Series via Symbolic Approximation
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