Knowledge Discovery in Databases: PKDD 2005
Volume 3721 of the series Lecture Notes in Computer Science pp 8-9
Data Streams and Data Synopses for Massive Data Sets
- Yossi MatiasAffiliated withTel Aviv University, HyperRoll Inc., Stanford University
Abstract
With the proliferation of data intensive applications, it has become necessary to develop new techniques to handle massive data sets. Traditional algorithmic techniques and data structures are not always suitable to handle the amount of data that is required and the fact that the data often streams by and cannot be accessed again. A field of research established over the past decade is that of handling massive data sets using data synopses, and developing algorithmic techniques for data stream models. We will discuss some of the research work that has been done in the field, and provide a decades’ perspective to data synopses and data streams.
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- Title
- Data Streams and Data Synopses for Massive Data Sets
- Book Title
- Knowledge Discovery in Databases: PKDD 2005
- Book Subtitle
- 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005. Proceedings
- Pages
- pp 8-9
- Copyright
- 2005
- DOI
- 10.1007/11564126_6
- Print ISBN
- 978-3-540-29244-9
- Online ISBN
- 978-3-540-31665-7
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- 3721
- Series ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- Additional Links
- Topics
- Industry Sectors
- eBook Packages
- Editors
-
- Alípio Mário Jorge (18)
- Luís Torgo (19)
- Pavel Brazdil (20)
- Rui Camacho (21)
- João Gama (22)
- Editor Affiliations
-
- 18. LIACC/FEP, Universidade do Porto
- 19. LIAAD-INESC Porto LA / FEP, University of Porto
- 20. LIAAD-INESC Porto L.A./Faculty of Economics, University of Porto
- 21. Faculdade de Engenharia & LIAAD, Universidade do Porto
- 22. Faculty of Economics of the University of Porto
- Authors
-
- Yossi Matias (23)
- Author Affiliations
-
- 23. Tel Aviv University, HyperRoll Inc., Stanford University,
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