Sciweavers

167 search results - page 1 / 34
» Testing and Spot-Checking of Data Streams
Sort
View
ALGORITHMICA
2002
97views more  ALGORITHMICA 2002»
13 years 4 months ago
Testing and Spot-Checking of Data Streams
Abstract. We consider the tasks of testing and spot-checking for data streams. These testers and spotcheckers are potentially useful in real-time or near real-time applications tha...
Joan Feigenbaum, Sampath Kannan, Martin Strauss, M...
VLDB
2002
ACM
137views Database» more  VLDB 2002»
13 years 4 months ago
Comparing Data Streams Using Hamming Norms (How to Zero In)
Massive data streams are now fundamental to many data processing applications. For example, Internet routers produce large scale diagnostic data streams. Such streams are rarely s...
Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthu...
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
13 years 5 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
13 years 8 months ago
An extensible test framework for the Microsoft StreamInsight query processor
Microsoft StreamInsight (StreamInsight, for brevity) is a platform for developing and deploying streaming applications. StreamInsight adopts a deterministic stream model that leve...
Alex Raizman, Asvin Ananthanarayan, Anton Kirilov,...
IJCAI
2007
13 years 6 months ago
Detecting Changes in Unlabeled Data Streams Using Martingale
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
Shen-Shyang Ho, Harry Wechsler