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Scientific and Statistical Database Management

21st International Conference, SSDBM 2009, New Orleans, LA, USA, June 2-4, 2009 Proceedings

  • Conference proceedings
  • © 2009

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Editors:
  1. Marianne Winslett

    1. Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5566)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: SSDBM 2009.

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Table of contents (44 papers)

  1. Front Matter

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  3. Improving the End-User Experience

    1. Query Recommendations for Interactive Database Exploration

      • Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis Polyzotis
      Pages 3-18

    2. Scientific Mashups: Runtime-Configurable Data Product Ensembles

      • Bill Howe, Harrison Green-Fishback, David Maier
      Pages 19-36

    3. View Discovery in OLAP Databases through Statistical Combinatorial Optimization

      • Cliff Joslyn, John Burke, Terence Critchlow, Nick Hengartner, Emilie Hogan
      Pages 37-55

    4. Designing a Geo-scientific Request Language - A Database Approach

      • Peter Baumann
      Pages 56-73

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

      • Fan Wang, Gagan Agrawal
      Pages 74-82

    6. Expressing OLAP Preferences

      • Matteo Golfarelli, Stefano Rizzi
      Pages 83-91

  4. Indexing, Physical Design, and Energy

    1. Energy Smart Management of Scientific Data

      • Ekow Otoo, Doron Rotem, Shih-Chiang Tsao
      Pages 92-109

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

      • Luke J. Gosink, Kesheng Wu, E. Wes Bethel, John D. Owens, Kenneth I. Joy
      Pages 110-129

    3. Finding Regions of Interest in Large Scientific Datasets

      • Rishi Rakesh Sinha, Marianne Winslett, Kesheng Wu
      Pages 130-147

    4. Adaptive Physical Design for Curated Archives

      • Tanu Malik, Xiaodan Wang, Debabrata Dash, Amitabh Chaudhary, Anastasia Ailamaki, Randal Burns
      Pages 148-166

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

      • Rahul Malik, Sangkyum Kim, Xin Jin, Chandrasekar Ramachandran, Jiawei Han, Indranil Gupta et al.
      Pages 167-184

  5. Application Experience

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

      • Can Türker, Fuat Akal, Dieter Joho, Ralph Schlapbach
      Pages 185-190

    2. Design and Implementation of Metadata System in PetaShare

      • Xinqi Wang, Tevfik Kosar
      Pages 191-199

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

      • Weijia Xu, Stuart Ozer, Robin R. Gutell
      Pages 200-216

  6. Invited Presentation

    1. What Makes Scientific Workflows Scientific?

      • Bertram Ludäscher
      Pages 217-217

  7. Workflow

    1. Enabling Ad Hoc Queries over Low-Level Scientific Data Sets

      • David Chiu, Gagan Agrawal
      Pages 218-236

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

      • Manish Kumar Anand, Shawn Bowers, Timothy McPhillips, Bertram Ludäscher
      Pages 237-254

    3. Data Integration with the DaltOn Framework – A Case Study

      • Stefan Jablonski, Bernhard Volz, M. Abdul Rehman, Oliver Archner, Olivier Curé
      Pages 255-263
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About this book

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.

Editors and Affiliations

  • Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, USA

    Marianne Winslett

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