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.
- ISBN13 9781680833140
- Publish Date 8 August 2017
- Publish Status Active
- Publish Country US
- Imprint now publishers Inc
- Format Paperback
- Pages 158
- Language English
- URL https://nowpublishers.com/article/Details/DBS-052