Full Citation

Title: PossDB: An Uncertainty Database Management System

Citation Type: Journal Article

Publication Year: 2014

ISBN: 978-3-642-40380-4; 978-3-642-40381-1

ISSN:

DOI: https://doi.org/10.1007/978-3-642-40381-1_19

NSFID:

PMCID:

PMID:

Abstract: Management of uncertain and imprecise data has long been recognized as an important direction of research in data bases. With the tremendous growth of information stored and shared over the Internet, and the introduction of new technologies able to capture and transmit information, it has become increasingly important for Data Base Management Systems to be able to handle uncertain and probabilistic data. As a consequence, there has lately been significant efforts by the database research community to develop new systems able to deal with uncertainty, either by annotating values with probabilistic measures or defining new structures capable of capturing missing information

Url: http://link.springer.com/chapter/10.1007%2F978-3-642-40381-1_19

User Submitted?: No

Authors: Grahne, Gosta; Onet, Adrian; Tartal, Nihat

Periodical (Full): Scalable Uncertainty Management: Lecture Notes in Computer Science

Issue:

Volume: 8078

Pages: 247-254

Data Collections: IPUMS USA

Topics: Methodology and Data Collection, Other

Countries: