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DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
16 years 27 days ago
Adaptively Detecting Aggregation Bursts in Data Streams
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
Aoying Zhou, Shouke Qin, Weining Qian
KDD
2004
ACM
213views Data Mining» more  KDD 2004»
16 years 19 days ago
Analytical view of business data
This paper describes a logical extension to Microsoft Business Framework (MBF) called Analytical View (AV). AV consists of three components: Model Service for design time, Busines...
Adam Yeh, Jonathan Tang, Youxuan Jin, Sam Skrivan
ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
15 years 5 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh
244
Voted
NAR
2011
172views Computer Vision» more  NAR 2011»
14 years 10 months ago
NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data
Next-generation sequencing (NGS) together with bisulphite conversion allows the generation of whole genome methylation maps at single-cytosine resolution. This allows studying the...
Michael Hackenberg, Guillermo Barturen, José...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 7 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal