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Apache IoTDB: A Time Series Database for IoT Applications
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The log-structured merge-tree (LSM-tree)
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A New Dimensionality-Unbiased Score for Efficient and Effective Outlying Aspect Mining
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KV-Match: A Subsequence Matching Approach Supporting Normalization and Time Warping
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Swapping Repair for Misplaced Attribute Values
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Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree
inferredcites →https://doi.org/10.1109/icde55515.2023.00092openalex-snapshot
Non-Blocking Raft for High Throughput IoT Data
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Run-length encodings (Corresp.)
inferredcites →https://doi.org/10.1109/tkde.2017.2740932openalex-snapshot
Time Series Management Systems: A Survey
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Major technical advancements in apache hive
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Confidence Bounded Replica Currency Estimation
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Grouping Time Series for Efficient Columnar Storage
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Increasing the bit packing densities of optical disk systems
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Approximating median absolute deviation with bounded error
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On repairing timestamps for regular interval time series
inferredcites →https://doi.org/10.14778/3547305.3547319openalex-snapshot
Time series data encoding for efficient storage
inferredcites →https://doi.org/10.14778/3565816.3565829openalex-snapshot
Frequency domain data encoding in apache IoTDB
inferredcites →https://doi.org/10.17487/rfc1952openalex-snapshot
GZIP file format specification version 4.3
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Continuous learning of HPC infrastructure models using big data analytics and in-memory processing tools
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Benchmarking Time Series Databases: Current State and Future Perspectives (Panel)
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Performance Evaluation of TimechoDB Using TPCx-IoT Benchmark
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NexusDB: A Large-Scale Distributed Time-Series Database for Industrial Scenarios
inferred← citeshttps://doi.org/10.1007/s00778-024-00840-5openalex-snapshot
Time series data encoding in Apache IoTDB: comparative analysis and recommendation
inferred← citeshttps://doi.org/10.1016/j.fusengdes.2024.114648openalex-snapshot
EAST plant data storage system based on IoTDB time series database
inferred← citeshttps://doi.org/10.1016/j.iot.2023.101049openalex-snapshot
Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems
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Time Series Data Cleaning Under Expressive Constraints on Both Rows and Columns
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On Tuning Raft for IoT Workload in Apache IoTDB
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Exploring SIMD Vectorization in Aggregation Pipelines for Encoded IoT Data
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Learned Compression of Nonlinear Time Series with Random Access
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LogDelta: Differential Encoding for Log Data
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Sorting Compressed Time Series
inferred← citeshttps://doi.org/10.1109/icde65706.2026.00067openalex-snapshot
Deferred Flushing for Out-of-Order Arrivals in Apache IoTDB
inferred← citeshttps://doi.org/10.1109/icde65706.2026.00327openalex-snapshot
LOADs: Adaptive Cloud-Edge-Device Database Management System Optimizer
inferred← citeshttps://doi.org/10.1109/ispa67752.2025.00093openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ispa67752.2025.00100openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3626737openalex-snapshot
MOST: Model-Based Compression with Outlier Storage for Time Series Data
inferred← citeshttps://doi.org/10.1145/3639280openalex-snapshot
Determining Exact Quantiles with Randomized Summaries
inferred← citeshttps://doi.org/10.1145/3639290openalex-snapshot
Time Series Representation for Visualization in Apache IoTDB
inferred← citeshttps://doi.org/10.1145/3654962openalex-snapshot
Optimizing Time Series Queries with Versions
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inferred← citeshttps://doi.org/10.1145/3709699openalex-snapshot
Largest Triangle Sampling for Visualizing Time Series in Database
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Randomized Sketches for Quantile in LSM-tree based Store
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FedAPM: Federated Learning via ADMM with Partial Model Personalization
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Mnemosyne: Dynamic Workload-Aware BF Tuning via Accurate Statistics in LSM trees
inferred← citeshttps://doi.org/10.1145/3726523openalex-snapshot
Apache IoTDB: A Time Series Database for Large Scale IoT Applications
inferred← citeshttps://doi.org/10.1145/3769773openalex-snapshot
Cleaning Time Series under Seasonal and Trend Constraints
inferred← citeshttps://doi.org/10.1145/3769805openalex-snapshot
LSM-Raft: Optimizing Raft for LSM-tree Store
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Retrieval-Augmented Generation with Covariate Time Series
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Improving LZ4 for Effective Compression and Efficient Query
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FLEA: Frequency-based Lossless Encoding Algorithm for Periodic Time Series
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The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis]
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System support for ubiquitous human-cyber-physical fusion applications
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TsQuality: Measuring Time Series Data Quality in Apache IoTDB
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Distance-Based Outlier Query Optimization in Apache IoTDB
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On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB
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TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges
inferred← citeshttps://doi.org/10.14778/3704965.3704987openalex-snapshot
MTSClean: Efficient Constraint-Based Cleaning for Multi-Dimensional Time Series Data
inferred← citeshttps://doi.org/10.14778/3725688.3725706openalex-snapshot
Migration-Free Elastic Storage of Time Series in Apache IoTDB
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