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Probabilistic Ranking Techniques in Relational Databases

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Probabilistic Ranking Techniques in Relational Databases Cover

 

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Publisher Comments:

Ranking queries are widely used in data exploration, data analysis and decision making scenarios. While most of the currently proposed ranking techniques focus on deterministic data, several emerging applications involve data that are imprecise or uncertain. Ranking uncertain data raises new challenges in query semantics and processing, making conventional methods inapplicable. Furthermore, the interplay between ranking and uncertainty models introduces new dimensions for ordering query results that do not exist in the traditional settings.This lecture describes new formulations and processing techniques for ranking queries on uncertain data. The formulations are based on marriage of traditional ranking semantics with possible worlds semantics under widely-adopted uncertainty models. In particular, we focus on discussing the impact of tuple-level and attribute-level uncertainty on the semantics and processing techniques of ranking queries.Under the tuple-level uncertainty model, we describe new processing techniques leveraging the capabilities of relational database systems to recognize and handle data uncertainty in score-based ranking. Under the attribute-level uncertainty model, we describe new probabilistic ranking models and a set of query evaluation algorithms, including sampling-based techniques. We also discuss supporting rank join queries on uncertain data, and we show how to extend current rank join methods to handle uncertainty in scoring attributes.Table of Contents: Introduction / Uncertainty Models / Query Semantics / Methodologies / Uncertain Rank Join / Conclusion

Product Details

ISBN:
9781608455676
Author:
Ilyas, Ihab F.
Publisher:
Morgan & Claypool
Subject:
Database design
Publication Date:
20110331
Binding:
TRADE PAPER
Language:
English

Related Subjects

Computers and Internet » Database » Design
Computers and Internet » Internet » Information
Computers and Internet » Software Engineering » Software Management
Computers and Internet » Software Engineering » Systems Analysis and Design
Health and Self-Help » Self-Help » Self Esteem
Religion » Comparative Religion » General

Probabilistic Ranking Techniques in Relational Databases New Trade Paper
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Product details pages Morgan & Claypool - English 9781608455676 Reviews:
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