Scientific and Statistical Database Management

23rd International Conference, SSDBM 2011, Portland, OR, USA, July 20-22, 2011. Proceedings

  • Judith Bayard Cushing
  • James French
  • Shawn Bowers

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6809)

Table of contents

  1. Front Matter
  2. Keynote Address

    1. Michael Stonebraker, Paul Brown, Alex Poliakov, Suchi Raman
      Pages 1-16
  3. Ranked Search

    1. Shengyue Ji, Chen Li
      Pages 17-36
    2. Thomas Bernecker, Hans-Peter Kriegel, Nikos Mamoulis, Matthias Renz, Andreas Zuefle
      Pages 37-54
    3. Sarah Cohen-Boulakia, Alain Denise, Sylvie Hamel
      Pages 73-90
    4. Manish Patil, Rahul Shah, Sharma V. Thankachan
      Pages 91-108
  4. Temporal Data and Queries

    1. Hui (Wendy) Wang, Ruilin Liu, Dimitri Theodoratos, Xiaoying Wu
      Pages 109-128
    2. Theodore Johnson, Vladislav Shkapenyuk
      Pages 129-149
    3. Hardy Kremer, Stephan Günnemann, Anca-Maria Ivanescu, Ira Assent, Thomas Seidl
      Pages 150-167
  5. Workflows and Provenance

    1. Aída Gándara, George Chin Jr., Paulo Pinheiro da Silva, Signe White, Chandrika Sivaramakrishnan, Terence Critchlow
      Pages 189-206
    2. Sven Köhler, Sean Riddle, Daniel Zinn, Timothy McPhillips, Bertram Ludäscher
      Pages 207-224
    3. Saumen C. Dey, Daniel Zinn, Bertram Ludäscher
      Pages 225-243
    4. James Frew, Greg Janée, Peter Slaughter
      Pages 244-252
  6. Panel I

  7. Querying Graphs

    1. Miao Qiao, Hong Cheng, Jeffrey Xu Yu
      Pages 255-273
    2. Michail Kazimianec, Nikolaus Augsten
      Pages 274-292
    3. Peng Peng, Lei Zou, Lei Chen, Xuemin Lin, Dongyan Zhao
      Pages 312-321

About these proceedings


This book constitutes the refereed proceedings of the 23rd International Conference on Scientific and Statistical Database Management, SSDBM 2011, held in Portland, OR, USA, in July 2011. The 26 long and 12 short papers presented together with 15 posters were carefully reviewed and selected from 80 submissions. The topics covered are ranked search; temporal data and queries; workflow and provenance; querying graphs; clustering and data mining; architectures and privacy; and applications and models.


automated workflow data parallel computing large-scale data analysis system modeling visualization

Editors and affiliations

  • Judith Bayard Cushing
    • 1
  • James French
    • 2
  • Shawn Bowers
    • 3
  1. 1.The Evergreen State CollegeOlympiaUSA
  2. 2.CNRI and University of VirginiaCharlottesvilleUSA
  3. 3.Gonzaga UniversitySpokaneUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-22350-1
  • Online ISBN 978-3-642-22351-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book