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PAKDD
2005
ACM
146views Data Mining» more  PAKDD 2005»
14 years 2 months ago
An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning ...
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
13 years 7 months ago
Anonymizing Temporal Data
-- Temporal data are time-critical in that the snapshot at each timestamp must be made available to researchers in a timely fashion. However, due to the limited data, each snapshot...
Ke Wang, Yabo Xu, Raymond Chi-Wing Wong, Ada Wai-C...
SIGKDD
2002
93views more  SIGKDD 2002»
13 years 9 months ago
A Perspective on Inductive Databases
Inductive databases tightly integrate databases with data mining. The key ideas are that data and patterns (or models) are handled in the same way and that an inductive query lang...
Luc De Raedt
SDM
2003
SIAM
91views Data Mining» more  SDM 2003»
13 years 10 months ago
An Outlier-based Data Association Method for Linking Criminal Incidents
Serial criminals are a major threat in the modern society. Associating incidents committed by the same offender is of great importance in studying serial criminals. In this paper,...
Song Lin, Donald E. Brown
SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
13 years 10 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison