External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

REG^2: a regional regression framework for geo-referenced datasets

Oner Ulvi Celepcikay, Christoph F. Eick. REG^2: a regional regression framework for geo-referenced datasets. In Divyakant Agrawal, Walid G. Aref, Chang-Tien Lu, Mohamed F. Mokbel, Peter Scheuermann, Cyrus Shahabi, Ouri Wolfson, editors, 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2009, November 4-6, 2009, Seattle, Washington, USA, Proceedings. pages 326-335, ACM, 2009. [doi]

Authors

Oner Ulvi Celepcikay

This author has not been identified. Look up 'Oner Ulvi Celepcikay' in Google

Christoph F. Eick

This author has not been identified. Look up 'Christoph F. Eick' in Google
runs on