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CIKM
2004
Springer
14 years 1 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
IDEAS
2007
IEEE
148views Database» more  IDEAS 2007»
14 years 2 months ago
Adaptive Execution of Stream Window Joins in a Limited Memory Environment
A sliding window join (SWJoin) is becoming an integral operation in every stream data management system. In some streaming applications the increasing volume of streamed data as w...
Fatima Farag, Moustafa A. Hammad
DEXA
2003
Springer
135views Database» more  DEXA 2003»
14 years 27 days ago
On the Optimality of Holistic Algorithms for Twig Queries
Streaming XML documents has many emerging applications. However, in this paper, we show that the restrictions imposed by data streaming are too restrictive for processing twig quer...
Byron Choi, Malika Mahoui, Derick Wood
DIS
2010
Springer
13 years 6 months ago
Sentiment Knowledge Discovery in Twitter Streaming Data
Micro-blogs are a challenging new source of information for data mining techniques. Twitter is a micro-blogging service built to discover what is happening at any moment in time, a...
Albert Bifet, Eibe Frank