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Volume 21, 2012. Volume 20, 2011. Volume 19, 2010. Volume 18, 2009. Volume 17, 2008. Volume 8, 2014/2015. Volume 7, 2013/2014. Volume 6, 2012/2013. Volume 5, 2011/2012. Volume 4, 2010/2011. Volume 3, 2010. Volume 2, 2009. Volume 1, 2008. IEEE Data Eng. TC. Very Large Data Base Endowment Inc. (VLDB Endowment). Is a non-profit organisation incorporated in the United States for the sole purpose of promoting and exchanging scholarly work in databases and related fields throughout the world. Since 1995 contai...

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VLDB Endowment Inc. | vldbarc.org Reviews
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VLDB Endowment Inc. | vldbarc.org Reviews

https://vldbarc.org

Volume 21, 2012. Volume 20, 2011. Volume 19, 2010. Volume 18, 2009. Volume 17, 2008. Volume 8, 2014/2015. Volume 7, 2013/2014. Volume 6, 2012/2013. Volume 5, 2011/2012. Volume 4, 2010/2011. Volume 3, 2010. Volume 2, 2009. Volume 1, 2008. IEEE Data Eng. TC. Very Large Data Base Endowment Inc. (VLDB Endowment). Is a non-profit organisation incorporated in the United States for the sole purpose of promoting and exchanging scholarly work in databases and related fields throughout the world. Since 1995 contai...

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Proceedings of the VLDB Endowment, Vol. 8

http://www.vldbarc.org/pvldb/vol8.html

Volume 9, 2015/2016. Volume 8, 2014/2015. Volume 7, 2013/2014. Volume 6, 2012/2013. Volume 5, 2011/2012. Volume 4, 2010/2011. Volume 3, 2010. Volume 2, 2009. Volume 1, 2008. Proceedings of the VLDB Endowment, Volume 8, 2014-2015. Editor-in-Chief: Chen Li and Volker Markl. Founding Editor-in-Chief: H. V. Jagadish. Managing Editor: Divesh Srivastava. Information Director: Gerald Weber. Review Board: see full list. Volume 8, No. 1, September 2014. Chen Li and Volker Markl:. In-Memory Performance for Big Data.

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Published Articles

http://www.vldbarc.org/vldb_journal/index.php/published-articles/volume/21

Compressive mining: fast and optimal data mining in the compressed domain. Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis. Details and Comments (0). Continuous nearest-neighbor queries with location uncertainty. A Prasad Sistla, Ouri Wolfson, Bo Xu. Details and Comments (0). Scaling forecasting algorithms using clustered modeling. İzzeddin Gür, Mehmet Güvercin, Hakan Ferhatosmanoglu. Details and Comments (0). RDF in the clouds: a survey. Zoi Kaoudi, Ioana Manolescu. Details and Comments (0).

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41st International Conference on Very Large Data Bases | VLDB 2015

http://www.vldbarc.org/2015

41st International Conference on Very Large Data Bases. Credit: Hawaii Tourism Authority (HTA) / Tor Johnson. Http:/ vldb.org/2015/wp-content/uploads/slideshow-gallery/14766074451 36dde0ebd2 c.jpg. Http:/ vldb.org/2015/wp-content/uploads/slideshow-gallery/12780509554 bb3c2c08e2 o.jpg. Http:/ vldb.org/2015/wp-content/uploads/slideshow-gallery/12780258884 8e96d1c881 o.jpg. Http:/ vldb.org/2015/wp-content/uploads/slideshow-gallery/12779946993 35c17fccba o.jpg. The 20-minute drive north of the Kona Internati...

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VLDB2014 - Conference Overview

http://www.vldbarc.org/2014

Experiments and Analysis Track. Program at a Glance. VLDB2014 will take place at Hangzhou. The conference is organized by Zhejiang University. Which was established in 1897 and has long been considered as one of the top-three universities in China. Zhejiang University was honored by the well-known British scholar Joseph Needham as "East Cambridge". More than 160 Zhejiang University alumni have been elected to Chinese Academy of Science and Chinese Academy of Engineering. The conference has successfully c...

5

Published Articles

http://www.vldbarc.org/vldb_journal/index.php/published-articles/volume/18

Compressive mining: fast and optimal data mining in the compressed domain. Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis. Details and Comments (0). Continuous nearest-neighbor queries with location uncertainty. A Prasad Sistla, Ouri Wolfson, Bo Xu. Details and Comments (0). Scaling forecasting algorithms using clustered modeling. İzzeddin Gür, Mehmet Güvercin, Hakan Ferhatosmanoglu. Details and Comments (0). RDF in the clouds: a survey. Zoi Kaoudi, Ioana Manolescu. Details and Comments (0).

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VLDB2016 - Conference Overview

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VLDB Endowment Inc.

Volume 21, 2012. Volume 20, 2011. Volume 19, 2010. Volume 18, 2009. Volume 17, 2008. Volume 8, 2014/2015. Volume 7, 2013/2014. Volume 6, 2012/2013. Volume 5, 2011/2012. Volume 4, 2010/2011. Volume 3, 2010. Volume 2, 2009. Volume 1, 2008. IEEE Data Eng. TC. Very Large Data Base Endowment Inc. (VLDB Endowment). Is a non-profit organisation incorporated in the United States for the sole purpose of promoting and exchanging scholarly work in databases and related fields throughout the world. Since 1995 contai...

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