R
Raghu Ramakrishnan
Researcher at Microsoft
Publications - 285
Citations - 36663
Raghu Ramakrishnan is an academic researcher from Microsoft. The author has contributed to research in topics: Datalog & Query optimization. The author has an hindex of 78, co-authored 279 publications receiving 34953 citations. Previous affiliations of Raghu Ramakrishnan include University of Wisconsin-Madison & University of Virginia.
Papers
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Proceedings ArticleDOI
BIRCH: an efficient data clustering method for very large databases
TL;DR: Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) as discussed by the authors is a data clustering method that is especially suitable for very large databases.
Proceedings ArticleDOI
Benchmarking cloud serving systems with YCSB
TL;DR: This work presents the "Yahoo! Cloud Serving Benchmark" (YCSB) framework, with the goal of facilitating performance comparisons of the new generation of cloud data serving systems, and defines a core set of benchmarks and reports results for four widely used systems.
Book ChapterDOI
When Is ''Nearest Neighbor'' Meaningful?
TL;DR: The effect of dimensionality on the "nearest neighbor" problem is explored, and it is shown that under a broad set of conditions, as dimensionality increases, the Distance to the nearest data point approaches the distance to the farthest data point.
Journal Article
When is nearest neighbor meaningful
TL;DR: In this article, the authors explore the effect of dimensionality on the nearest neighbor problem and show that under a broad set of conditions (much broader than independent and identically distributed dimensions), as dimensionality increases, the distance to the nearest data point approaches the distance of the farthest data point.
Book
Database Management Systems
TL;DR: New to this edition are the early coverage of the ER model, new chapters on Internet databases, data mining, and spatial databases, and a new supplement on practical SQL assignments (with solutions for instructors' use).