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MLDM
2007
Springer
16 years 8 days ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
16 years 7 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
15 years 11 months 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
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 6 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
188
Voted
WEBDB
2001
Springer
137views Database» more  WEBDB 2001»
15 years 10 months ago
Using Database Technology to Improve Performance of Web Proxy Servers
In this paper, we propose to use database technology to improve performance of web proxy servers. We view the cache at a proxy server as a web warehouse with data organized in a h...
Kai Cheng, Yahiko Kambayashi, Mukesh K. Mohania