Scientific and Statistical Database Management | 22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30-July 2, 2010, Proceedings | ISBN 9783642138171

Scientific and Statistical Database Management

22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30-July 2, 2010, Proceedings

herausgegeben von Michael Gertz und Bertram Ludäscher
Mitwirkende
Herausgegeben vonMichael Gertz
Herausgegeben vonBertram Ludäscher
Buchcover Scientific and Statistical Database Management  | EAN 9783642138171 | ISBN 3-642-13817-9 | ISBN 978-3-642-13817-1

Scientific and Statistical Database Management

22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30-July 2, 2010, Proceedings

herausgegeben von Michael Gertz und Bertram Ludäscher
Mitwirkende
Herausgegeben vonMichael Gertz
Herausgegeben vonBertram Ludäscher

Inhaltsverzeichnis

  • 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.