The International Conference on Scienti?c and Statistical Database Mana- ment (SSDBM) is an established forum for the exchange of the latest research resultsonconcepts,tools,andtechniquesforscienti?cdatabaseapplications. The nd 2010meeting markedthe 22 time that scienti?c domain experts, databases- searchers,practitioners,anddeveloperscametogethertosharetheirinsightsand to discuss future research directions in a stimulating environment. The conf- encewasheldfromJune30toJuly2atVillaBosch,neartheCarlBoschMuseum and Heidelberg Castle, overlooking the picturesque Neckar Valley. The conf- ence was organized at and co-sponsored by Heidelberg University and HITS, the Heidelberg Institute for Theoretical Studies, established in January 2010 by Dr. Klaus Tschira, co-founder of SAP AG, as a successor to the EML Research Institute. HITSfocuses onnew approachesandfoundations towardsinterpreting the rapidly increasing amounts of experimental data. Heidelberg University, the oldest university in Germany, was founded in 1386, is a German Excellence U- versity, and a top-ranking university in Europe and worldwide, known among other things for its excellence in the natural sciences and medicine. The univ- sity also hosts a unique Interdisciplinary Center for Scienti?c Computing (IWR) where grand challenges in the computational sciences are tackled, e. g. , climate and ocean modeling, turbulent ?ows, combustion, bio-molecules, and drug - sign. In 2010, SSDBM received a near-record number of 94 submissions from 27 countries. Each submission was reviewed by at least three of the 38 PC m- bers or externalreviewers. After careful consideration,41 papers (?44%) overall where accepted, 30 as long papers (?32%) and 11 short papers and demonst- tions. The reviewing process was managedby the EasyChair Conference System (www. easychair.
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The International Conference on Scienti?c and Statistical Database Mana- ment (SSDBM) is an established forum for the exchange of the latest research resultsonconcepts,tools,andtechniquesforscienti?cdatabaseapplications. The nd 2010meeting markedthe 22 time that scienti?c domain experts, databases- searchers,practitioners,anddeveloperscametogethertosharetheirinsightsand to discuss future research directions in a stimulating environment. The conf- encewasheldfromJune30toJuly2atVillaBosch,neartheCarlBoschMuseum and Heidelberg Castle, overlooking the picturesque Neckar Valley. The conf- ence was organized at and co-sponsored by Heidelberg University and HITS, the Heidelberg Institute for Theoretical Studies, established in January 2010 by Dr. Klaus Tschira, co-founder of SAP AG, as a successor to the EML Research Institute. HITSfocuses onnew approachesandfoundations towardsinterpreting the rapidly increasing amounts of experimental data. Heidelberg University, the oldest university in Germany, was founded in 1386, is a German Excellence U- versity, and a top-ranking university in Europe and worldwide, known among other things for its excellence in the natural sciences and medicine. The univ- sity also hosts a unique Interdisciplinary Center for Scienti?c Computing (IWR) where grand challenges in the computational sciences are tackled, e. g. , climate and ocean modeling, turbulent ?ows, combustion, bio-molecules, and drug - sign. In 2010, SSDBM received a near-record number of 94 submissions from 27 countries. Each submission was reviewed by at least three of the 38 PC m- bers or externalreviewers. After careful consideration,41 papers (?44%) overall where accepted, 30 as long papers (?32%) and 11 short papers and demonst- tions. The reviewing process was managedby the EasyChair Conference System (www. easychair.
This book constitutes the proceedings of the 22nd International Conference on Scientific and Statistical Database Management, SSDBM 2010, held in Heidelberg, Germany in June/July 2010. The 30 long and 11 short papers presented were carefully reviewed and selected from 94 submissions. The topics covered are query processing; scientific data management and analysis; data mining; indexes and data representation; scientific workflow and provenance; and data stream processing.
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