This paper describes our ongoing work developing the Stanford Stream Data Manager (STREAM), a system for executing continuous queries over multiple continuous data streams. The ST...
Rajeev Motwani, Jennifer Widom, Arvind Arasu, Bria...
Abstract The integration of database and programming languages is difficult due to the different data models and type systems prevalent in each field. We present a solution wher...
Miguel Garcia, Anastasia Izmaylova, Sibylle Schupp
In this paper we consider the problem of answering queries using views, with or without ontological constraints, which is important for data integration, query optimization, and d...
An organization's data records are often noisy because of transcription errors, incomplete information, lack of standard formats for textual data or combinations thereof. A f...
Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas...
Scaling up web applications requires distribution of load across multiple application servers and across multiple database servers. Distributing load across multiple application se...