TY  - BOOK
AU  - Gertz,Michael
AU  - Ludäscher,Bertram
ED  - SpringerLink (Online service)
TI  - Scientific and Statistical Database Management: 22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30–July 2, 2010. Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783642138188
AV  - QA76.76.A65 
U1  - 005.7 23
PY  - 2010///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Computer Communication Networks
KW  - Computer software
KW  - Database management
KW  - Information storage and retrieval systems
KW  - Information systems
KW  - Artificial intelligence
KW  - Computer Science
KW  - Information Systems Applications (incl.Internet)
KW  - Artificial Intelligence (incl. Robotics)
KW  - Information Storage and Retrieval
KW  - Database Management
KW  - Algorithm Analysis and Problem Complexity
N1  - 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
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-13818-8
ER  -