Scientific and Statistical Database Management : 21st International Conference, SSDBM 2009, New Orleans, LA, USA, June 2-4, 2009 Proceedings / edited by Marianne Winslett.

Format:

Book

Contributor:

Winslett, Marianne, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 5566.

Information Systems and Applications, incl. Internet/Web, and HCI ; 5566

Language:

English

Subjects (All):

Data structures (Computer science).

Database management.

Data mining.

Application software.

Information storage and retrieval.

Management information systems.

Computer science.

Data Structures and Information Theory.

Database Management.

Data Mining and Knowledge Discovery.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Management of Computing and Information Systems.

Local Subjects:

Data Structures and Information Theory.

Database Management.

Data Mining and Knowledge Discovery.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Management of Computing and Information Systems.

Physical Description:

1 online resource (XIV, 648 pages).

Edition:

First edition 2009.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 21st International Conference on Scientific and Statistical Database Management, SSDBM 2009, held in New Orleans, LA, USA in June 2009. The 29 revised full papers and 12 revised short papers including poster and demo papers presented together with three invited presentations were carefully reviewed and selected from 76 submissions. The papers are organized in topical sections on improving the end-user experience, indexing, physical design, and energy, application experience, workflow, query processing, similarity search, mining, as well as spatial data.

Contents:

Invited Presentation

The Scientific Data Management Center: Providing Technologies for Large Scale Scientific Exploration

Improving the End-User Experience

Query Recommendations for Interactive Database Exploration

Scientific Mashups: Runtime-Configurable Data Product Ensembles

View Discovery in OLAP Databases through Statistical Combinatorial Optimization

Designing a Geo-scientific Request Language - A Database Approach

SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources

Expressing OLAP Preferences

Indexing, Physical Design, and Energy

Energy Smart Management of Scientific Data

Data Parallel Bin-Based Indexing for Answering Queries on Multi-core Architectures

Finding Regions of Interest in Large Scientific Datasets

Adaptive Physical Design for Curated Archives

MLR-Index: An Index Structure for Fast and Scalable Similarity Search in High Dimensions

Application Experience

B-Fabric: An Open Source Life Sciences Data Management System

Design and Implementation of Metadata System in PetaShare

Covariant Evolutionary Event Analysis for Base Interaction Prediction Using a Relational Database Management System for RNA

Invited Presentation

What Makes Scientific Workflows Scientific?

Workflow

Enabling Ad Hoc Queries over Low-Level Scientific Data Sets

Exploring Scientific Workflow Provenance Using Hybrid Queries over Nested Data and Lineage Graphs

Data Integration with the DaltOn Framework - A Case Study

Experiment Line: Software Reuse in Scientific Workflows

Tracking Files in the Kepler Provenance Framework

BioBrowsing: Making the Most of the Data Available in Entrez

Using Workflow Medleys to Streamline Exploratory Tasks

Query Processing

Experiences on Processing Spatial Data with MapReduce

Optimization and Execution of Complex Scientific Queries over Uncorrelated Experimental Data

Comprehensive Optimization of Declarative Sensor Network Queries

Efficient Evaluation of Generalized Tree-Pattern Queries with Same-Path Constraints

Mode Aware Stream Query Processing

Evaluating Reachability Queries over Path Collections

Similarity Search

Easing the Dimensionality Curse by Stretching Metric Spaces

Probabilistic Similarity Search for Uncertain Time Series

Reverse k-Nearest Neighbor Search Based on Aggregate Point Access Methods

Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation

Keynote Address

Cloud Computing for Science

Mining

Classification with Unknown Classes

HSM: Heterogeneous Subspace Mining in High Dimensional Data

Split-Order Distance for Clustering and Classification Hierarchies

Combining Multiple Interrelated Streams for Incremental Clustering

Improving Relation Extraction by Exploiting Properties of the Target Relation

Cor-Split: Defending Privacy in Data Re-publication from Historical Correlations and Compromised Tuples

A Bipartite Graph Framework for Summarizing High-Dimensional Binary, Categorical and Numeric Data

Spatial Data

Region Extraction and Verification for Spatial and Spatio-temporal Databases

Identifying the Most Endangered Objects from Spatial Datasets

Constraint-Based Learning of Distance Functions for Object Trajectories.

Other Format:

Printed edition:

ISBN:

978-3-642-02279-1

9783642022791

Access Restriction:

Restricted for use by site license.