HDAG-Explorer: A System for Hierarchical DAG Summarization and Exploration

von Zhu, Xuliang
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 5 of 5 (2020)

Budget Constrained Interactive Search for Multiple Targets

von Zhu, Xuliang
Veröffentlicht in VLDB (47. : 2021 : Kopenhagen; Online) 47th International Conference on Very Large Data Bases 2021 ; Part 2 of 4 (2021)

Distributed D-core Decomposition over Large Directed Graphs

von Liao, Xuankun
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 3 of 6 (2023)

Fast Network K-function-based Spatial Analysis

von Chan, Tsz Nam
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 5 of 6 (2023)

SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization

von Chan, Tsz Nam
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 1 of 6 (2023)

SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization

von Chan, Tsz Nam
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 2 of 6 (2023)

SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data

von Yan, Li
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 6 of 6 (2023)

Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Canned Pattern Selection for Large Networks

von Yuan, Zifeng
Veröffentlicht in VLDB (47. : 2021 : Kopenhagen; Online) 47th International Conference on Very Large Data Bases 2021 ; Part 3 of 4 (2021)

LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics

von Chan, Tsz Nam
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 6 of 6 (2023)