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» A Perspective on Databases and Data Mining
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DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
16 years 4 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
MOBIHOC
2007
ACM
16 years 6 months ago
Outlier detection in sensor networks
Outlier detection has many important applications in sensor networks, e.g., abnormal event detection, animal behavior change, etc. It is a difficult problem since global informati...
Bo Sheng, Qun Li, Weizhen Mao, Wen Jin
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 7 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 7 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
16 years 7 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen