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Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes

Summary: Coconut introduces an inverted, sortable z-order summarization that preserves similarity locality, enabling bottom-up, sort-based bulk loading with sequential I/O. Median-based splitting keeps leaves dense, jointly improving construction and query speed while reducing storage versus prior data-series indexes. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hcc8d941ed84ea1a5
Venue
VLDB
Year
2018
Pagerank
6.4692031e-05
Overall Rank
4,685 | 68.52%
DOI
10.14778/3184470.3184472

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kondylakis_vldb18,
        title = {{Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes}},
        author = {Kondylakis, Haridimos and Dayan, Niv and Zoumpatianos, Kostas and Palpanas, Themis},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {6},
        pages = {677--690},
        doi = {10.14778/3184470.3184472},
        url = {https://doi.org/10.14778/3184470.3184472},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 25 of 25 citing papers.

Rank Citing Paper Year Venue Pagerank
1,422 The Log-Structured Merge-Bush & the Wacky Continuum 2019 SIGMOD 0.00010720711
1,982 Chucky: A Succinct Cuckoo Filter for LSM-Tree 2021 SIGMOD 9.2570284e-05
2,868 Spooky: Granulating LSM-Tree Compactions Correctly 2022 VLDB 7.9205462e-05
2,872 Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art 2025 SIGMOD 7.9191725e-05
2,920 Monarch: Google’s Planet-Scale In-Memory Time Series Database 2020 VLDB 7.8519381e-05
3,513 Scalable, Variable-Length Similarity Search in Data Series: The ULISSE Approach 2018 VLDB 7.2404521e-05
3,525 Key-Value Storage Engines 2020 SIGMOD 7.2293566e-05
4,305 Data Series Progressive Similarity Search with Probabilistic Quality Guarantees 2020 SIGMOD 6.6740088e-05
4,603 Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series 2018 SIGMOD 6.5045277e-05
4,753 GRF: A Global Range Filter for LSM-Trees with Shape Encoding 2024 SIGMOD 6.4334982e-05
5,084 InfiniFilter: Expanding Filters to Infinity and Beyond 2023 SIGMOD 6.2824822e-05
5,530 DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search 2024 VLDB 6.0907372e-05
6,184 High-Dimensional Vector Similarity Search: From Time Series to Deep Network Embeddings 2020 SIGMOD 5.8567387e-05
6,612 Dumpy: A Compact and Adaptive Index for Large Data Series Collections 2023 SIGMOD 5.732933e-05
7,041 Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm 2019 SIGMOD 5.6120015e-05
7,267 Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search 2025 SIGMOD 5.5677188e-05
9,140 Rethinking The Compaction Policies in LSM-trees 2025 SIGMOD 5.2208299e-05
9,191 Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space 2024 SIGMOD 5.20942e-05
9,571 LeaFi: Data Series Indexes on Steroids with Learned Filters 2025 SIGMOD 5.154741e-05
10,125 DIDS: Double Indices and Double Summarizations for Fast Similarity Search 2024 VLDB 5.0747281e-05
10,520 TaCo: Data-adaptive and Query-aware Subspace Collision for High-dimensional Approximate Nearest Neighbor Search 2026 SIGMOD 4.9769913e-05
10,663 Improving Range Scan Performance in LSM-trees with Group Caching 2026 SIGMOD 4.9769913e-05
11,084 MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance 2026 VLDB 4.9769913e-05
11,575 CIVET: Exploring Compact Index for Variable-Length Subsequence Matching on Time Series 2024 VLDB 4.9769913e-05
11,736 Correlation Joins over Time Series Data Streams Utilizing Complementary Dimension Reduction and Transformation 2023 SIGMOD 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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