Scientific and Statistical Database Management
22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30-July 2, 2010, Proceedings
Published on 17. June 2010
Book
Paperback/Softback
XV, 660 pages
978-3-642-13817-1 (ISBN)
Description
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.
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.
More details
Series
Edition
2010 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Edition type
Annotated edition
Illustrations
285 s/w Abbildungen
XV, 660 p. 285 illus.
Dimensions
Height: 0 mm
Width: 0 mm
Weight
1006 gr
ISBN-13
978-3-642-13817-1 (9783642138171)
DOI
10.1007/978-3-642-13818-8
Schweitzer Classification
Other editions
Additional editions
Michael Gertz | Bertram Ludäscher
Scientific and Statistical Database Management
22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30-July 2, 2010, Proceedings
E-Book
06/2010
Springer
€96.29
Available for download
Content
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 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.