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BMCBI
2008
242views more  BMCBI 2008»
13 years 7 months ago
annot8r: GO, EC and KEGG annotation of EST datasets
Background: The expressed sequence tag (EST) methodology is an attractive option for the generation of sequence data for species for which no completely sequenced genome is availa...
Ralf Schmid, Mark L. Blaxter
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
12 years 10 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 7 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
13 years 5 months ago
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space
Data stream classification poses many challenges, most of which are not addressed by the state-of-the-art. We present DXMiner, which addresses four major challenges to data stream ...
Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Kh...
ICDM
2010
IEEE
199views Data Mining» more  ICDM 2010»
13 years 5 months ago
Addressing Concept-Evolution in Concept-Drifting Data Streams
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...