Scientific and Statistical Database Management

24th International Conference, SSDBM 2012, Chania, Crete, Greece, June 25-27, 2012. Proceedings

  • Anastasia Ailamaki
  • Shawn Bowers
Conference proceedings SSDBM 2012

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7338)

Table of contents

  1. Front Matter
    PDF

  2. Keynote Address I

    1. Navigating Oceans of Data
      David Maier, V. M. Megler, António M. Baptista, Alex Jaramillo, Charles Seaton, Paul J. Turner
      Pages 1-19

  3. Uncertain and Probabilistic Data

    1. Probabilistic Range Monitoring of Streaming Uncertain Positions in GeoSocial Networks
      Kostas Patroumpas, Marios Papamichalis, Timos Sellis
      Pages 20-37
    2. Probabilistic Frequent Pattern Growth for Itemset Mining in Uncertain Databases
      Thomas Bernecker, Hans-Peter Kriegel, Matthias Renz, Florian Verhein, Andreas Züfle
      Pages 38-55
    3. Evaluating Trajectory Queries over Imprecise Location Data
      Xike Xie, Reynold Cheng, Man Lung Yiu
      Pages 56-74
    4. Efficient Range Queries over Uncertain Strings
      Dongbo Dai, Jiang Xie, Huiran Zhang, Jiaqi Dong
      Pages 75-95
    5. Continuous Probabilistic Sum Queries in Wireless Sensor Networks with Ranges
      Nina Hubig, Andreas Züfle, Tobias Emrich, Mario A. Nascimento, Matthias Renz, Hans-Peter Kriegel
      Pages 96-105

  4. Parallel and Distributed Data Management

    1. Partitioning and Multi-core Parallelization of Multi-equation Forecast Models
      Lars Dannecker, Matthias Böehm, Wolfgang Lehner, Gregor Hackenbroich
      Pages 106-123
    2. Integrating GPU-Accelerated Sequence Alignment and SNP Detection for Genome Resequencing Analysis
      Mian Lu, Yuwei Tan, Jiuxin Zhao, Ge Bai, Qiong Luo
      Pages 124-140
    3. Discovering Representative Skyline Points over Distributed Data
      Akrivi Vlachou, Christos Doulkeridis, Maria Halkidi
      Pages 141-158
    4. SkyQuery: An Implementation of a Parallel Probabilistic Join Engine for Cross-Identification of Multiple Astronomical Databases
      László Dobos, Tamás Budavári, Nolan Li, Alexander S. Szalay, István Csabai
      Pages 159-167
    5. Efficient Filtering in Micro-blogging Systems: We Won’t Get Flooded Again
      Ryadh Dahimene, Cedric Du Mouza, Michel Scholl
      Pages 168-176

  5. Graph Processing

    1. Regular Path Queries on Large Graphs
      André Koschmieder, Ulf Leser
      Pages 177-194
    2. Sampling Connected Induced Subgraphs Uniformly at Random
      Xuesong Lu, Stéphane Bressan
      Pages 195-212
    3. Discovery of Top-k Dense Subgraphs in Dynamic Graph Collections
      Elena Valari, Maria Kontaki, Apostolos N. Papadopoulos
      Pages 213-230
    4. On the Efficiency of Estimating Penetrating Rank on Large Graphs
      Weiren Yu, Jiajin Le, Xuemin Lin, Wenjie Zhang
      Pages 231-249
    5. Towards Efficient Join Processing over Large RDF Graph Using MapReduce
      Xiaofei Zhang, Lei Chen, Min Wang
      Pages 250-259

  6. Panel

    1. Panel on “Data Infrastructures and Data Management Research: Close Relatives or Total Strangers?”
      Yannis Ioannidis
      Pages 260-261

  7. Mining Multidimensional Data

    1. Efficient Similarity Search in Very Large String Sets
      Dandy Fenz, Dustin Lange, Astrid Rheinländer, Felix Naumann, Ulf Leser
      Pages 262-279
    2. Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types
      Stephan Günnemann, Brigitte Boden, Thomas Seidl
      Pages 280-297

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 24th International Conference on Scientific and Statistical Database Management, SSDBM 2012, held in Chania, Grete, Greece, in June 2012. The 25 long and 10 short papers presented together with 2 keynotes, 1 panel, and 13 demonstration and poster papers were carefully reviewed and selected from numerous submissions. The topics covered are uncertain and probabilistic data, parallel and distributed data management, graph processing, mining multidimensional data, provenance and workflows, processing scientific queries, and support for demanding applications.

Keywords

clustering data infrastructures large graphs scientific workflows usage data

Editors and affiliations

  • Anastasia Ailamaki
    • 1
  • Shawn Bowers
    • 2
  1. 1.Computer Science, EPFL IC SIN-GEEcole Polytechnique Federale de LausanneLausanneSwitzerland
  2. 2.Department of Computer ScienceGonzaga UniversitySpokaneUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-31235-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-31234-2
  • Online ISBN 978-3-642-31235-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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