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» Online Data Mining for Co-Evolving Time Sequences
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ICDE
2000
IEEE
125views Database» more  ICDE 2000»
14 years 5 months ago
Online Data Mining for Co-Evolving Time Sequences
Byoung-Kee Yi, Nikolaos Sidiropoulos, Theodore Joh...
DKE
2006
125views more  DKE 2006»
13 years 4 months ago
Online clustering of parallel data streams
In recent years, the management and processing of so-called data streams has become a topic of active research in several fields of computer science such as, e.g., distributed sys...
Jürgen Beringer, Eyke Hüllermeier
COMSIS
2006
71views more  COMSIS 2006»
13 years 4 months ago
Data Mining Techniques Based on Grey System Theories for Time Sequence Data
Liu Bin, Zhang Hui, Sifeng Liu, Yaoguo Dang
AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
KDD
1998
ACM
181views Data Mining» more  KDD 1998»
13 years 8 months ago
Approaches to Online Learning and Concept Drift for User Identification in Computer Security
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...
Terran Lane, Carla E. Brodley