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» Analyzing concurrency in streaming applications
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SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
13 years 11 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
SIGMOD
2002
ACM
198views Database» more  SIGMOD 2002»
14 years 10 months ago
Processing complex aggregate queries over data streams
Recent years have witnessed an increasing interest in designing algorithms for querying and analyzing streaming data (i.e., data that is seen only once in a fixed order) with only...
Alin Dobra, Minos N. Garofalakis, Johannes Gehrke,...
ICDE
2007
IEEE
155views Database» more  ICDE 2007»
14 years 4 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...
ICDE
2007
IEEE
103views Database» more  ICDE 2007»
14 years 11 months ago
TCAM-conscious Algorithms for Data Streams
Recently, there has been significant interest in developing space and time efficient solutions for answering continuous summarization queries over data streams. While these techni...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 10 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha