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Adaptive Asynchronous Parallelization of Graph Algorithms

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2020; 45 (2)

This article proposes an Adaptive Asynchronous Parallel (AAP) model for graph computations. As opposed to Bulk Synchronous Parallel (BSP) and Asynchro......

Catching Numeric Inconsistencies in Graphs

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2020; 45 (2)

Numeric inconsistencies are common in real-life knowledge bases and social networks. To catch such errors, we extend graph functional dependencies wit......

Packing R-trees with Space-filling Curves: Theoretical Optimality, Empirical Efficiency, and Bulk-loading Parallelizability

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2020; 45 (3)

The massive amount of data and large variety of data distributions in the big data era call for access methods that are efficient in both query proces......

Discovering Graph Functional Dependencies

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2020; 45 (3)

This article studies discovery of Graph Functional Dependencies (GFDs), a class of functional dependencies defined on graphs. We investigate the fixed......

Wander Join and XDB: Online Aggregation via Random Walks

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2019; 44 (1)

Joins are expensive, and online aggregation over joins was proposed to mitigate the cost, which offers users a nice and flexible tradeoff between quer......

JIF:1.9

Historic Moments Discovery in Sequence Data

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2019; 44 (1)

Many emerging applications are based on finding interesting subsequences from sequence data. Finding "prominent streaks," a set of the longest contigu......

JIF:1.9

Output-Optimal Massively Parallel Algorithms for Similarity Joins

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2019; 44 (2)

Parallel join algorithms have received much attention in recent years due to the rapid development of massively parallel systems such as MapReduce and......

JIF:1.9

A Survey of Spatial Crowdsourcing

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2019; 44 (2)

Widespread use of advanced mobile devices has led to the emergence of a new class of crowdsourcing called spatial crowdsourcing. Spatial crowdsourcing......

JIF:1.9

Dependencies for Graphs

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2019; 44 (2)

This article proposes a class of dependencies for graphs, referred to as graph entity dependencies (GEDs). A GED is defined as a combination of a grap......

JIF:1.9

Bounded Query Rewriting Using Views

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2018; 43 (1)

A query Q in a language L has a bounded rewriting using a set of L-definable views if there exists a query Q' in L such that given any dataset D, Q(D)......

JIF:1.9

Parallelizing Sequential Graph Computations

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2018; 43 (4)

This article presents GRAPE, a parallel (GRAPh) under bar (E) under bar ngine for graph computations. GRAPE differs from prior systems in its ability ......

JIF:1.9

PrivBayes: Private Data Release via Bayesian Networks

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2017; 42 (4)

Privacy-preserving data publishing is an important problem that has been the focus of extensive study. The state-of-the-art solution for this problem ......

JIF:1.0

Response to '' Differential Dependencies Revisited ''

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2017; 42 (1)

A recent article [Vincent et al. 2015] concerns the correctness of several results in reasoning about differential dependencies (DDs), originally repo......

JIF:1.0

A Unified Ad Hoc Data Processing System

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2017; 42 (1)

Instead of constructing complex declarative queries, many users prefer to write their programs using procedural code embedded with simple queries. Sin......

JIF:1.0

Outlier Detection over Massive-Scale Trajectory Streams

期刊: ACM TRANSACTIONS ON DATABASE SYSTEMS, 2017; 42 (2)

The detection of abnormal moving objects over high-volume trajectory streams is critical for real-time applications ranging from military surveillance......

JIF:1.0

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