Approximation Algorithms for Massive High-Rate Data Streams

被引：0
|
作者：
Cuzzocrea, Alfredo [1 ]
机构：
[1] ICAR CNR, Rome, Italy
来源：
NEW TRENDS IN DATABASES AND INFORMATION SYSTEMS | 2013年 / 185卷
关键词：
COMPRESSION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper complements our line of research on effectively and efficiently processing massive high-rate data streams via intelligent compression techniques. In particular, here we provide approximation algorithms adhering to the so-called non-linear data stream compression paradigm. This paradigm demonstrates its feasibility and reliability in the context of emerging data stream applications, such as environmental sensor networks.
引用
收藏
页码：59 / 68
页数：10
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