Probabilistic data is motivated by the need to model uncertainty in
large databases. Over the last twenty years or so, both the
Database community and the Al community have studied various
aspects of probabilistic relational data. Query Processing on
Probabilistic Data: A Survey presents the main approaches developed
in the literature, reconciling concepts developed in parallel by
the two research communities. It starts with an extensive
discussion of the main probabilistic data models and their
relationships, followed by a brief overview of model counting and
its relationship to probabilistic data. The monograph proceeds to
discuss lifted probabilistic inference, a suite of techniques
developed in parallel by the Database and Al communities for
probabilistic query evaluation. It then provides a summary of query
compilation, presenting some theoretical results highlighting
limitations of various query evaluation techniques on probabilistic
data. It ends with a brief discussion of some popular probabilistic
data sets, systems, and applications that build on this technology.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
