View the profiles of professionals named Arvind Arasu on LinkedIn. There are 3 professionals named Arvind Arasu, who use LinkedIn to exchange information. Arvind Arasu of Microsoft, Washington with expertise in: Algorithms, Computer Security and Reliability and Databases. Read 48 publications, and contact Arvind . View the profiles of people named Arvind Arasu. Join Facebook to connect with Arvind Arasu and others you may know. Facebook gives people the power to.
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On indexing error-tolerant set containment.
Efficient parsing-based search over structured data. About project SlidePlayer Terms of Service. Orthogonal Security with Cipherbase. On active learning of record matching packages.
A grammar-based entity representation framework for data cleaning. Algorithm Generate signatures for each r i, s j Generate signatures for each r i, s j Enumerate r i, s j s.
Arvind ArasuRaghav Kaushik: Simplified simple H systems. We specifically address sliding-window aggregates over data streams, an important class of continuous … More. We offer an overview of current Web search engine design. Generating Synthetic Data using Declarative Constraints. WtEnum class of signature functions: Larger class of set-similarity join predicates Larger class of set-similarity join predicates Jaccard Jaccard Basic idea: Registration Forgot your password?
dblp: Arvind Arasu
We cover crawling, local Web page storage, … More. We consider two types of sliding windows depending on whether the number of … More. After introducing a generic search engine architecture, we examine each engine component in turn.
Stream Data Management Systems process streaming data by executing continuous and historical queries while … More. Signature Generation s1s1 A Stream Data Management Benchmark. The CQL continuous query language: A secure coprocessor for database applications. Extracting Structured Data from Web Pages. All pairs r i, s j such that: Transaction processing on confidential data using cipherbase.
The Stanford Stream Data Manager.
Secure database-as-a-service with Cipherbase. My presentations Profile Feedback Log srvind. Data generation using declarative constraints. Given two input collections of sets, a set-similarity join SSJoin identifies all pairs of sets, one from each collection, that have high similarity.
Arvind ArasuJennifer Widom: Auth with social network: We consider the problem of learning a record matching package classifier in an active learning setting. O k 2 The number of signatures per set: