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Fast Time Sequence Indexing for Arbitrary L_p Norms

Summary: Fast time-sequence indexing for arbitrary L_p norms (p = 1..∞) enabling multimodal similarity search. A single index supports all L_p distances (including L2) and delivers large speedups—up to 10x on L1—while remaining competitive for L2 and L∞. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8664
Venue
VLDB
Year
2000
Pagerank
0.00020666392
Overall Rank
539 | 96.26%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 34 of 34 citing papers.

Rank Citing Paper Year Venue Pagerank
243 Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases 2001 SIGMOD 0.00031074984
251 Robust and Fast Similarity Search for Moving Object Trajectories 2005 SIGMOD 0.00030644658
358 On The Marriage of Lp-norms and Edit Distance 2004 VLDB 0.0002599481
699 Exact Indexing of Dynamic Time Warping 2002 VLDB 0.00018015254
785 StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time 2002 VLDB 0.00016664156
1,061 Warping Indexes with Envelope Transforms for Query by Humming 2003 SIGMOD 0.00014368716
1,157 A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series 2013 VLDB 0.00013610658
1,161 Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures 2008 VLDB 0.00013585236
1,363 Indexing Spatio-Temporal Trajectories with Chebyshev Polynomials 2004 SIGMOD 0.00012372959
2,041 Indexable PLA for Efficient Similarity Search 2007 VLDB 9.6992894e-05
2,641 Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science 2018 VLDB 8.3905374e-05
2,943 An Efficient and Accurate Method for Evaluating Time Series Similarity 2007 SIGMOD 7.8399495e-05
3,518 FTW: Fast Similarity Search under the Time Warping Distance 2005 PODS 7.0153323e-05
3,566 Fast Manhattan Sketches in Data Streams 2010 PODS 6.9629443e-05
3,726 Indexing Large Human-Motion Databases 2004 VLDB 6.8148202e-05
4,059 GRAIL: Efficient Time-Series Representation Learning 2019 VLDB 6.4854417e-05
4,628 Sim-Piece: Highly Accurate Piecewise Linear Approximation through Similar Segment Merging 2023 VLDB 6.0379315e-05
4,755 Indexing for Interactive Exploration of Big Data Series 2014 SIGMOD 5.946863e-05
4,823 YADING: Fast Clustering of Large-Scale Time Series Data 2015 VLDB 5.8956566e-05
4,853 Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures 2020 SIGMOD 5.8760276e-05
5,119 Design Tradeoffs of Data Access Methods 2016 SIGMOD 5.6807904e-05
5,878 Ranked Subsequence Matching in Time-Series Databases 2007 VLDB 5.2916009e-05
6,311 VergeDB: A Database for IoT Analytics on Edge Devices 2021 CIDR 5.1161316e-05
6,320 Indexing the Earth Mover's Distance Using Normal Distributions 2012 VLDB 5.1129965e-05
6,577 On Efficiently Searching Trajectories and Archival Data for Historical Similarities 2008 VLDB 5.0042166e-05
6,671 Discovering Longest-lasting Correlation in Sequence Databases 2013 VLDB 4.9669225e-05
6,786 Interactive Time Series Exploration Powered by the Marriage of Similarity Distances 2017 VLDB 4.9257516e-05
8,035 A New Approach for Processing Ranked Subsequence Matching Based on Ranked Union 2011 SIGMOD 4.6009403e-05
8,647 A Non-Linear Dimensionality-Reduction Technique for Fast Similarity Search in Large Databases 2006 SIGMOD 4.4768766e-05
8,985 TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications 2023 VLDB 4.4156106e-05
9,822 DIDS: Double Indices and Double Summarizations for Fast Similarity Search 2024 VLDB 4.2757088e-05
10,965 High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors 2024 SIGMOD 4.1945683e-05
11,022 CIVET: Exploring Compact Index for Variable-Length Subsequence Matching on Time Series 2024 VLDB 4.1945683e-05
11,215 Correlation Joins over Time Series Data Streams Utilizing Complementary Dimension Reduction and Transformation 2023 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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