Data Streams

Models and Algorithms

Editors:

ISBN: 978-0-387-28759-1 (Print) 978-0-387-47534-9 (Online)

Table of contents (15 chapters)

  1. Front Matter

    Pages i-xviii

  2. No Access

    Book Chapter

    Pages 1-8

    An Introduction to Data Streams

  3. No Access

    Book Chapter

    Pages 9-38

    On Clustering Massive Data Streams: A Summarization Paradigm

  4. No Access

    Book Chapter

    Pages 39-59

    A Survey of Classification Methods in Data Streams

  5. No Access

    Book Chapter

    Pages 61-84

    Frequent Pattern Mining in Data Streams

  6. No Access

    Book Chapter

    Pages 85-102

    A Survey of Change Diagnosis Algorithms in Evolving Data Streams

  7. No Access

    Book Chapter

    Pages 103-125

    Multi-Dimensional Analysis of Data Streams Using Stream Cubes

  8. No Access

    Book Chapter

    Pages 127-147

    Load Shedding in Data Stream Systems

  9. No Access

    Book Chapter

    Pages 149-167

    The Sliding-Window Computation Model and Results

  10. No Access

    Book Chapter

    Pages 169-207

    A Survey of Synopsis Construction in Data Streams

  11. No Access

    Book Chapter

    Pages 209-236

    A Survey of Join Processing in Data Streams

  12. No Access

    Book Chapter

    Pages 237-259

    Indexing and Querying Data Streams

  13. No Access

    Book Chapter

    Pages 261-288

    Dimensionality Reduction and Forecasting on Streams

  14. No Access

    Book Chapter

    Pages 289-307

    A Survey of Distributed Mining of Data Streams

  15. No Access

    Book Chapter

    Pages 309-331

    Algorithms for Distributed Data Stream Mining

  16. No Access

    Book Chapter

    Pages 333-352

    A Survey of Stream Processing Problems and Techniques in Sensor Networks

  17. Back Matter

    Pages 353-354