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» Mining data streams with periodically changing distributions
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IPPS
2000
IEEE
14 years 1 months ago
ACDS: Adapting Computational Data Streams for High Performance
Data-intensive, interactive applications are an important class of metacomputing (Grid) applications. They are characterized by large, time-varying data flows between data provid...
Carsten Isert, Karsten Schwan
ICPR
2008
IEEE
14 years 3 months ago
A robust front page detection algorithm for large periodical collections
Large-scale digitization projects aimed at periodicals often have as input streams of completely unlabeled document images. In such situations, the results produced by the automat...
Iuliu Vasile Konya, Christoph Seibert, Sebastian G...
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
14 years 6 months ago
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Masashi Sugiyama, Yoshinobu Kawahara
DAGSTUHL
2006
13 years 10 months ago
Information Access to Historical Documents from the Early New High German Period
With the new interest in historical documents insight grew that electronic access to these texts causes many specific problems. In the first part of the paper we survey the presen...
Andreas Hauser, Markus Heller, Elisabeth Leiss, Kl...
KDD
2006
ACM
127views Data Mining» more  KDD 2006»
14 years 9 months ago
Recommendation method for extending subscription periods
Online stores providing subscription services need to extend user subscription periods as long as possible to increase their profits. Conventional recommendation methods recommend...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada