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The VLDB Journal

Ausgabe 5/2009

Inhalt (11 Artikel)

Editorial

Special issue on uncertain and probabilistic databases

Peter J. Haas, Dan Suciu

Special Issue Paper

Representing uncertain data: models, properties, and algorithms

Anish Das Sarma, Omar Benjelloun, Alon Halevy, Shubha Nabar, Jennifer Widom

Special Issue Paper

worlds and beyond: efficient representation and processing of incomplete information

Lyublena Antova, Christoph Koch, Dan Olteanu

Special Issue Paper

On the expressiveness of probabilistic XML models

Serge Abiteboul, Benny Kimelfeld, Yehoshua Sagiv, Pierre Senellart

Special Issue Paper

PrDB: managing and exploiting rich correlations in probabilistic databases

Prithviraj Sen, Amol Deshpande, Lise Getoor

Special Issue Paper

The trichotomy of HAVING queries on a probabilistic database

Christopher Ré, Dan Suciu

Special Issue Paper

Query evaluation over probabilistic XML

Benny Kimelfeld, Yuri Kosharovsky, Yehoshua Sagiv

Special Issue Paper

Creating probabilistic databases from duplicated data

Oktie Hassanzadeh, Renée J. Miller

Special Issue Paper

Query processing over incomplete autonomous databases: query rewriting using learned data dependencies

Garrett Wolf, Aravind Kalavagattu, Hemal Khatri, Raju Balakrishnan, Bhaumik Chokshi, Jianchun Fan, Yi Chen, Subbarao Kambhampati

Special Issue Paper

Scalable processing of snapshot and continuous nearest-neighbor queries over one-dimensional uncertain data

Jinchuan Chen, Reynold Cheng, Mohamed Mokbel, Chi-Yin Chow

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