Data Stream Management: Processing High-Speed Data Streams

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Material type: Text

TextSeries: Data-Centric Systems and ApplicationsPublication details: Springer Heidelberg 2016 New YorkDescription: 537pISBN:

9783540286073

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DDC classification:

005.55 DAT

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	005.55 DAT (Browse shelf(Opens below))	Available		M0033253

Total holds: 0

1. Data Stream Management: A Brave New World
2. Data-Stream Sampling: Basic Techniques and Results
3. Quantiles and Equi-depth Histograms over Streams
4. Join Sizes, Frequency Moments, and Applications
5. Top- $k$ Frequent Item Maintenance over Streams
6. Distinct-Values Estimation over Data Streams
7. The Sliding-Window Computation Model and Results
8. Clustering Data Streams
9. Mining Decision Trees from Streams
10. Frequent Itemset Mining over Data Streams
11. Temporal Dynamics of On-Line Information Streams
12. Sketch-Based Multi-Query Processing over Data Streams
13. Approximate Histogram and Wavelet Summaries of Streaming Data
14. Stable Distributions in Streaming Computations
15. Tracking Queries over Distributed Streams
16. STREAM: The Stanford Data Stream Management System
17. The Aurora and Borealis Stream Processing Engines
18. Extending Relational Query Languages for Data Streams
19. Hancock: A Language for Analyzing Transactional Data Streams
20. Sensor Network Integration with Streaming Database Systems
21. Stream Processing Techniques for Network Management
22. High-Performance XML Message Brokering
23. Fast Methods for Statistical Arbitrage
24. Adaptive, Automatic Stream Mining
25. Conclusions and Looking Forward

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