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Budget Constrained Interactive Search for Multiple Targets

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (6)

Interactive graph search leverages human intelligence to categorize target labels in a hierarchy, which is useful for image classification, product ca......

On Analyzing Graphs with Motif-Paths

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (6)

Path-based solutions have been shown to be useful for various graph analysis tasks, such as link prediction and graph clustering. However, they are no......

Automating Incremental Graph Processing with Flexible Memoization

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (9)

The ever-growing amount of dynamic graph data demands efficient techniques of incremental graph processing. However, incremental graph algorithms are ......

Building Enclave-Native Storage Engines for Practical Encrypted Databases

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (6)

Data confidentiality is one of the biggest concerns that hinders enterprise customers from moving their workloads to the cloud. Thanks to the trusted ......

Towards Crowd-aware Indoor Path Planning

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (8)

Indoor venues accommodate many people who collectively form crowds. Such crowds in turn influence people's routing choices, e.g., people may prefer to......

Collective Influence Maximization for Multiple Competing Products with an Awareness-to-Influence Model

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (7)

Influence maximization (IM) is a fundamental task in social network analysis. Typically, IM aims at selecting a set of seeds for the network that infl......

Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (7)

Given an undirected graph and a number of vertex groups, the group Steiner tree problem is to find a tree such that (i) this tree contains at least on......

Parallel Discrepancy Detection and Incremental Detection

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (8)

This paper studies how to catch duplicates, mismatches and conflicts in the same process. We adopt a class of entity enhancing rules that embed machin......

Epoch-based Commit and Replication in Distributed OLTP Databases

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (5)

Many modern data-oriented applications are built on top of distributed OLTP databases for both scalability and high availability. Such distributed dat......

ParaX: Boosting Deep Learning for Big Data Analytics on Many-Core CPUs

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (6)

Despite the fact that GPUs and accelerators are more efficient in deep learning (DL), commercial clouds like Facebook and Amazon now heavily use CPUs ......

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (9)

Query optimizers rely on accurate cardinality estimation (CardEst) to produce good execution plans. The core problem of CardEst is how to model the ri......

ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (6)

Searching a community containing a given query vertex in an online social network enjoys wide applications like recommendation, team organization, etc......

Fast Augmentation Algorithms for Network Kernel Density Visualization

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (9)

Network kernel density visualization, or NKDV, has been extensively used to visualize spatial data points in various domains, including traffic accide......

Adaptive Data Augmentation for Supervised Learning over Missing Data

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (7)

Real-world data is dirty, which causes serious problems in (supervised) machine learning (ML). The widely used practice in such scenario is to first r......

Local Algorithms for Distance-generalized Core Decomposition over Large Dynamic Graphs

期刊: PROCEEDINGS OF THE VLDB ENDOWMENT, 2021; 14 (9)

The distance-generalized core, also called (k, h)-core, is defined as the maximal subgraph in which every vertex has at least k vertices at distance n......

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