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It has always been a major challenge to cluster high dimensional data considering the inherent sparsity of data-points. Our model uses attribute selection and handles the sparse structure of the data effectively. The subset section is done by two different methods. In first method, we select the subset which has most informative attributes that do preserve cluster structure using LASSO (Least Absolute...
The danger of production or backup data becoming corrupted is a problem that database administrators dread. This position paper aims to bring this problem to the attention of the database research community, which, surprisingly, has by and large overlooked this problem. We begin by pointing out the causes and consequences of data corruption. We then describe the Proactive Checking Framework (PCF),...
A self-healing system is a grand-challenge vision where the system will detect, diagnose, and repair performance problems and hardware/software faults automatically. These systems take humans out of the failure-recovery loop, enabling recovery to happen at fast machine timescales rather than slower human timescales. Are self-healing database systems Utopia or just a hard puzzle to solve? We argue...
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