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KDD
2008
ACM
140views Data Mining» more  KDD 2008»
14 years 9 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 10 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
14 years 2 months ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
ISPASS
2003
IEEE
14 years 2 months ago
Performance study of a cluster runtime system for dynamic interactive stream-oriented applications
Emerging application domains such as interactive vision, animation, and multimedia collaboration display dynamic scalable parallelism, and high computational requirements, making ...
Arnab Paul, Nissim Harel, Sameer Adhikari, Bikash ...
ISVC
2005
Springer
14 years 2 months ago
Mining Paths of Complex Crowd Scenes
The Ambient Intelligence (AmI) paradigm requires a robust interpretation of people actions and behaviour and a way for automatically generating persistent spatial-temporal models o...
Beibei Zhan, Paolo Remagnino, Sergio A. Velastin