Vinita Subramanian

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Oracle Database In-Memory (DBIM) accelerates analytic workload performance by orders of magnitude through an in-memory columnar format utilizing techniques such as SIMD vector processing, in-memory storage indexes, and optimized predicate evaluation and aggregation. With Oracle Database 12.2, Database In-Memory is further enhanced to accelerate analytic(More)
This dissertation presents fast algorithms for mining associations in large datasets. An example of an association rule may be 30 of customers who buy jackets and gloves also buy hiking boots." The problem is to nd all such rules whose frequency is greater than some user-speciied minimum. W e rst present a new algorithm, Apriori, for mining associations(More)
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