Work

Distributed regression: an efficient framework for modeling sensor network data

Year: 2004

Type: conference-paper

Source: ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

DOI: 10.1145/984622.984624

Authors: Carlos Guestrin, Peter Bodik, Romain Thibaux, Mark Paskin, Samuel Madden

Institutions: Intel (United States), Lawrence Berkeley National Laboratory, University of California, Berkeley

Language: English

Topic: Distributed Sensor Networks and Detection Algorithms

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W2165004589

FWCI: 15.15

Cites: 22

Cited by: 424

Related to: 10