Scientific and Statistical Database Management
22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30-July 2, 2010, Proceedings
(Sprache: Englisch)
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...
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Klappentext zu „Scientific and Statistical Database Management “
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.
Inhaltsverzeichnis zu „Scientific and Statistical Database Management “
Invited Talks.- Tradeoffs between Parallel Database Systems, Hadoop, and HadoopDB as Platforms for Petabyte-Scale Analysis.- Emerging Trends and Converging Technologies in Data Intensive Scalable Computing.- Query Processing.- Deriving Spatio-temporal Query Results in Sensor Networks.- Efficient and Adaptive Distributed Skyline Computation.- On the Efficient Construction of Multislices from Recurrences.- Optimizing Query Processing in Cache-Aware Wireless Sensor Networks.- Approximate Query Answering and Result Refinement on XML Data.- Efficient and Scalable Method for Processing Top-k Spatial Boolean Queries.- Scientific Data Management and Analysis.- A Framework for Moving Sensor Data Query and Retrieval of Dynamic Atmospheric Events.- Client + Cloud: Evaluating Seamless Architectures for Visual Data Analytics in the Ocean Sciences.- Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Cluster.- Database Design for High-Resolution LIDAR Topography Data.- PetaScope: An Open-Source Implementation of the OGC WCS Geo Service Standards Suite.- Towards Archaeo-informatics: Scientific Data Management for Archaeobiology.- Data Mining.- DESSIN: Mining Dense Subgraph Patterns in a Single Graph.- Discovery of Evolving Convoys.- Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology.- Identifying the Most Influential User Preference from an Assorted Collection.- MC-Tree: Improving Bayesian Anytime Classification.- Non-intrusive Quality Analysis of Monitoring Data.- Visual Decision Support for Ensemble Clustering.- Indexes and Data Representation.- An Indexing Scheme for Fast and Accurate Chemical Fingerprint Database Searching.- BEMC: A Searchable, Compressed Representation for Large Seismic Wavefields.- Dynamic Data Reorganization for Energy Savings in Disk Storage Systems.- Organization of Data in Non-convex Spatial Domains.- PrefIndex: An Efficient Supergraph Containment Search Technique.- Supporting Web-Based Visual Exploration of
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Large-Scale Raster Geospatial Data Using Binned Min-Max Quadtree.- Scientific Workflow and Provenance.- Bridging Workflow and Data Provenance Using Strong Links.- LIVE: A Lineage-Supported Versioned DBMS.- Optimizing Resource Allocation for Scientific Workflows Using Advance Reservations.- A Fault-Tolerance Architecture for Kepler-Based Distributed Scientific Workflows.- Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data.- Taverna, Reloaded.- Similarity.- Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?.- Optimizing All-Nearest-Neighbor Queries with Trigonometric Pruning.- Prefix Tree Indexing for Similarity Search and Similarity Joins on Genomic Data.- Similarity Estimation Using Bayes Ensembles.- Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces.- Data Stream Processing.- Continuous Skyline Monitoring over Distributed Data Streams.- Propagation of Densities of Streaming Data within Query Graphs.- Spatio-temporal Event Stream Processing in Multimedia Communication Systems.- Stratified Reservoir Sampling over Heterogeneous Data Streams.- Tree Induction over Perennial Objects.
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Bibliographische Angaben
- 2010, 660 Seiten, Maße: 15,9 x 23,8 cm, Kartoniert (TB), Englisch
- Herausgegeben:Gertz, Michael; Ludäscher, Bertram
- Herausgegeben: Michael Gertz, Bertram Ludaescher
- Verlag: Springer
- ISBN-10: 3642138179
- ISBN-13: 9783642138171
- Erscheinungsdatum: 17.06.2010
Sprache:
Englisch
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