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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
6.4722037e-05
Overall Rank
4,680 | 68.54%
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 0.00010725538
1,980 Chucky: A Succinct Cuckoo Filter for LSM-Tree 2021 SIGMOD 9.2595896e-05
2,868 Spooky: Granulating LSM-Tree Compactions Correctly 2022 VLDB 7.9241972e-05
2,871 Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art 2025 SIGMOD 7.9229231e-05
2,919 Monarch: Google’s Planet-Scale In-Memory Time Series Database 2020 VLDB 7.8548399e-05
3,513 Scalable, Variable-Length Similarity Search in Data Series: The ULISSE Approach 2018 VLDB 7.2438813e-05
3,525 Key-Value Storage Engines 2020 SIGMOD 7.2327042e-05
4,304 Data Series Progressive Similarity Search with Probabilistic Quality Guarantees 2020 SIGMOD 6.6771697e-05
4,601 Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series 2018 SIGMOD 6.5076083e-05
4,750 GRF: A Global Range Filter for LSM-Trees with Shape Encoding 2024 SIGMOD 6.4354422e-05
5,081 InfiniFilter: Expanding Filters to Infinity and Beyond 2023 SIGMOD 6.2854372e-05
5,527 DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search 2024 VLDB 6.0936219e-05
6,181 High-Dimensional Vector Similarity Search: From Time Series to Deep Network Embeddings 2020 SIGMOD 5.8595125e-05
6,609 Dumpy: A Compact and Adaptive Index for Large Data Series Collections 2023 SIGMOD 5.7354155e-05
7,040 Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm 2019 SIGMOD 5.6146574e-05
7,264 Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search 2025 SIGMOD 5.5703557e-05
9,130 Rethinking The Compaction Policies in LSM-trees 2025 SIGMOD 5.2233025e-05
9,181 Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space 2024 SIGMOD 5.2118872e-05
9,563 LeaFi: Data Series Indexes on Steroids with Learned Filters 2025 SIGMOD 5.1571823e-05
10,121 DIDS: Double Indices and Double Summarizations for Fast Similarity Search 2024 VLDB 5.0771316e-05
10,509 TaCo: Data-adaptive and Query-aware Subspace Collision for High-dimensional Approximate Nearest Neighbor Search 2026 SIGMOD 4.9793485e-05
10,652 Improving Range Scan Performance in LSM-trees with Group Caching 2026 SIGMOD 4.9793485e-05
11,075 MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance 2026 VLDB 4.9793485e-05
11,569 CIVET: Exploring Compact Index for Variable-Length Subsequence Matching on Time Series 2024 VLDB 4.9793485e-05
11,730 Correlation Joins over Time Series Data Streams Utilizing Complementary Dimension Reduction and Transformation 2023 SIGMOD 4.9793485e-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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