CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud
Summary: CloudVista visualizes clustering structure across the whole big dataset, avoiding detail loss from reduction. Parallel visualization, compact cloud–client frames, and RandGen scheduling balance scalability, interactivity, and cloud cost. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Huiqi Xu (Wright State University)
- 2. Zhen Li (Wright State University)
- 3. Shumin Guo (Wright State University)
- 4. Keke Chen (Wright State University)
BibTeX Citation
@article{xu_vldb12,
title = {{CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud}},
author = {Xu, Huiqi and Li, Zhen and Guo, Shumin and Chen, Keke},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {12},
pages = {1886--1889},
doi = {10.14778/2367502.2367529},
url = {https://doi.org/10.14778/2367502.2367529},
year = {2012}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,848 | Data Pipelines for User Group Analytics | 2019 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 31 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00050347119 |
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