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» Streaming SPARQL - Extending SPARQL to Process Data Streams
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169
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CN
2006
163views more  CN 2006»
15 years 3 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
113
Voted
ICDE
2010
IEEE
288views Database» more  ICDE 2010»
16 years 3 months ago
Global Iceberg Detection over Distributed Data Streams
In today's Internet applications or sensor networks we often encounter large amounts of data spread over many physically distributed nodes. The sheer volume of the data and ba...
Ashwin Lall, Haiquan (Chuck) Zhao, Jun Xu, Mitsuno...
ICDE
2007
IEEE
155views Database» more  ICDE 2007»
15 years 9 months ago
Query-Aware Sampling for Data Streams
Data Stream Management Systems are useful when large volumes of data need to be processed in real time. Examples include monitoring network traffic, monitoring financial transacti...
Theodore Johnson, S. Muthukrishnan, Vladislav Shka...
SIGMOD
2004
ACM
164views Database» more  SIGMOD 2004»
16 years 3 months ago
Dynamic Plan Migration for Continuous Queries Over Data Streams
Dynamic plan migration is concerned with the on-the-fly transition from one continuous query plan to a semantically equivalent yet more efficient plan. Migration is important for ...
Yali Zhu, Elke A. Rundensteiner, George T. Heinema...
138
Voted
PODS
2005
ACM
96views Database» more  PODS 2005»
15 years 9 months ago
Space complexity of hierarchical heavy hitters in multi-dimensional data streams
Heavy hitters, which are items occurring with frequency above a given threshold, are an important aggregation and summary tool when processing data streams or data warehouses. Hie...
John Hershberger, Nisheeth Shrivastava, Subhash Su...