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CORR
2010
Springer
138views Education» more  CORR 2010»
14 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
SIGMOD
2004
ACM
188views Database» more  SIGMOD 2004»
15 years 10 months ago
Online Event-driven Subsequence Matching over Financial Data Streams
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Huanmei Wu, Betty Salzberg, Donghui Zhang
SIGMOD
2008
ACM
125views Database» more  SIGMOD 2008»
15 years 10 months ago
Categorical skylines for streaming data
The problem of skyline computation has attracted considerable research attention. In the categorical domain the problem becomes more complicated, primarily due to the partially-or...
Nikos Sarkas, Gautam Das, Nick Koudas, Anthony K. ...
PODS
2003
ACM
143views Database» more  PODS 2003»
15 years 10 months ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
ICDCS
2002
IEEE
15 years 2 months ago
D-Stampede: Distributed Programming System for Ubiquitous Computing
We focus on an important problem in the space of ubiquitous computing, namely, programming support for the distributed heterogeneous computing elements that make up this environme...
Sameer Adhikari, Arnab Paul, Umakishore Ramachandr...