TY - CHAP
T1 - Uncertain data
T2 - Representations, query processing, and applications
AU - Ge, Tingjian
AU - Dekhtyar, Alex
AU - Goldsmith, Judy
PY - 2013
Y1 - 2013
N2 - Uncertain data is common in many emerging applications. In this chapter, we start by surveying a few applications in sensor networks, ubiquitous computing, and scientific databases that require managing uncertain and probabilistic data. We then present two approaches to meeting this requirement. In the first approach, we propose a rich treatment of probability distributions in the system, in particular the SPO framework and the SP-algebra. In the second approach, we stay closer to a traditional DBMS, extended with tuple probabilities or attribute probability distributions, and study the semantics and efficient processing of queries.
AB - Uncertain data is common in many emerging applications. In this chapter, we start by surveying a few applications in sensor networks, ubiquitous computing, and scientific databases that require managing uncertain and probabilistic data. We then present two approaches to meeting this requirement. In the first approach, we propose a rich treatment of probability distributions in the system, in particular the SPO framework and the SP-algebra. In the second approach, we stay closer to a traditional DBMS, extended with tuple probabilities or attribute probability distributions, and study the semantics and efficient processing of queries.
UR - http://www.scopus.com/inward/record.url?scp=84876554156&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876554156&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-37509-5_4
DO - 10.1007/978-3-642-37509-5_4
M3 - Chapter
AN - SCOPUS:84876554156
SN - 9783642375088
T3 - Studies in Fuzziness and Soft Computing
SP - 67
EP - 108
BT - Advances in Probabilistic Databases for Uncertain Information Management
ER -