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JIIS
2006
147views more  JIIS 2006»
13 years 9 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
14 years 10 months ago
Randomized Synopses for Query Assurance on Data Streams
The overwhelming flow of information in many data stream applications forces many companies to outsource to a third-party the deployment of a Data Stream Management System (DSMS) f...
Ke Yi, Feifei Li, Marios Hadjieleftheriou, George ...
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
14 years 6 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu
SSDBM
2010
IEEE
181views Database» more  SSDBM 2010»
13 years 6 months ago
Stratified Reservoir Sampling over Heterogeneous Data Streams
Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., c...
Mohammed Al-Kateb, Byung Suk Lee
DIS
2006
Springer
14 years 19 days ago
Kalman Filters and Adaptive Windows for Learning in Data Streams
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
Albert Bifet, Ricard Gavaldà