TY  - BOOK
AU  - Garofalakis, Minos
AU  - Gehrke, Johannes
AU  - Rastogi, Rajeev
TI  - Data Stream Management: Processing High-Speed Data Streams
SN  - 9783540286073
U1  - 005.55 
PY  - 2016///
CY  - New York
PB  - Springer Heidelberg
KW  - Streaming Technology
KW  - Computer Science
KW  - Big Data
N1  - 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
ER  -