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DIFF: A Relational Interface for Large-Scale Data Explanation
A range of explanation engines assist data analysts by performing feature selection over increasingly high-volume and high-dimensional data, grouping and highlighting commonalities among data points. While useful in diverse tasks such as user behavior analytics,…
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Resource-Efficient Redundancy for Large-Scale Data Processing and Storage Systems
Large-scale systems are often subject to non-ideal conditions such as failures, stragglers, load imbalance, etc. These issues adversely affect query latency in data-processing systems, and durability and access latency in storage systems. Redundancy (duplication of…