Vocalizing Large Time Series Efficiently
Summary: Vocalizing Large Time Series Efficiently integrates query evaluation with voice output for time-series results. Optimal experimental design guides sampling of few points to generate concise voice descriptions and select a near-optimal batch. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Immanuel Trummer (Cornell University)
- 2. Mark Bryan (Cornell University)
- 3. Ramya Narasimha (Cornell University)
BibTeX Citation
@article{trummer_vldb18,
title = {{Vocalizing Large Time Series Efficiently}},
author = {Trummer, Immanuel and Bryan, Mark and Narasimha, Ramya},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {11},
pages = {1563--1575},
doi = {10.14778/3236187.3236206},
url = {https://doi.org/10.14778/3236187.3236206},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,964 | Data Vocalization with CiceroDB | 2019 | CIDR | 5.7303405e-05 |
| 7,511 | Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero | 2020 | VLDB | 5.6029996e-05 |
| 11,841 | A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP | 2019 | SIGMOD | 5.093636e-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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 267 | Optimal Histograms with Quality Guarantees | 1998 | VLDB | 0.00022798161 |
| 1,472 | M4: A Visualization-Oriented Time Series Data Aggregation | 2014 | VLDB | 0.00010668946 |
| 1,634 | Rapid Sampling for Visualizations with Ordering Guarantees | 2015 | VLDB | 0.00010163938 |
| 1,722 | Indexable PLA for Efficient Similarity Search | 2007 | VLDB | 9.9227051e-05 |
| 1,828 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD | 9.6689075e-05 |
| 3,322 | RINSE: Interactive Data Series Exploration with ADS+ | 2015 | VLDB | 7.5213802e-05 |
| 4,345 | ASAP: Prioritizing Attention via Time Series Smoothing | 2017 | VLDB | 6.7513816e-05 |
| 5,325 | Rare Time Series Motif Discovery from Unbounded Streams | 2015 | VLDB | 6.2641987e-05 |
| 5,440 | SpeakQL: Towards Speech-driven Multimodal Querying | 2019 | SIGMOD | 6.2185146e-05 |
| 6,517 | Interactive Time Series Exploration Powered by the Marriage of Similarity Distances | 2017 | VLDB | 5.8538485e-05 |
| 12,004 | Data Vocalization: Optimizing Voice Output of Relational Data | 2017 | VLDB | 5.093636e-05 |
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