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PODC
2006
ACM
14 years 3 months ago
Sketching asynchronous streams over a sliding window
We study the problem of maintaining sketches of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in w...
Srikanta Tirthapura, Bojian Xu, Costas Busch
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 9 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
ICDM
2010
IEEE
164views Data Mining» more  ICDM 2010»
13 years 7 months ago
On Finding Similar Items in a Stream of Transactions
While there has been a lot of work on finding frequent itemsets in transaction data streams, none of these solve the problem of finding similar pairs according to standard similar...
Andrea Campagna, Rasmus Pagh
SIGMOD
2003
ACM
126views Database» more  SIGMOD 2003»
14 years 9 months ago
Issues in data stream management
Traditional databases store sets of relatively static records with no pre-defined notion of time, unless timestamp attributes are explicitly added. While this model adequately rep...
Lukasz Golab, M. Tamer Özsu
FLAIRS
2001
13 years 10 months ago
Data Mining with Distributed Agents in E-Commerce Applications
In this paperwedescribe the prototypeof a yellowpageservice for customersin a distributed cyber-shoppingmall. This application combines distributed data miningwith agent technolog...
Yugyung Lee, James Geller, Eun Kyo Park, Changgyu ...