A
Anand Rajaraman
Researcher at Walmart
Publications - 93
Citations - 13532
Anand Rajaraman is an academic researcher from Walmart. The author has contributed to research in topics: Web search query & Query language. The author has an hindex of 42, co-authored 93 publications receiving 13084 citations. Previous affiliations of Anand Rajaraman include Stanford University & Amazon.com.
Papers
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Book
Mining of Massive Datasets
TL;DR: This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets, and explains the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing.
Proceedings ArticleDOI
Implementing data cubes efficiently
TL;DR: In this article, a lattice framework is used to express dependencies among views and greedy algorithms are presented to determine a good set of views to materialize, with a small constant factor of optimal.
Proceedings Article
Querying Heterogeneous Information Sources Using Source Descriptions
TL;DR: The Information Manifold is described, an implemented system that provides uniform access to a heterogeneous collection of more than 100 information sources, many of them on the WWW, and algorithms that use the source descriptions to prune effciently the set of information sources for a given query are described.
Journal ArticleDOI
The TSIMMIS Approach to Mediation: Data Models and Languages
Hector Garcia-Molina,Yannis Papakonstantinou,Dallan Quass,Anand Rajaraman,Yehoshua Sagiv,Jeffrey D. Ullman,Vasilis Vassalos,Jennifer Widom +7 more
TL;DR: TSIMMIS—The Stanford-IBM Manager of Multiple Information sources offers a datamodel and a common query language that are designed to support the combining of information from many different sources.
Proceedings ArticleDOI