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» Discovering Temporal Knowledge in Multivariate Time Series
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KDD
2005
ACM
160views Data Mining» more  KDD 2005»
15 years 10 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
DAWAK
1999
Springer
15 years 1 months ago
Mining Interval Time Series
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
ICDM
2009
IEEE
146views Data Mining» more  ICDM 2009»
15 years 4 months ago
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
Dima Alberg, Mark Last, Roni Neuman, Avi Sharon
CGF
2011
14 years 1 months ago
Visual Exploration of Time-Series Data with Shape Space Projections
Time-series data is a common target for visual analytics, as they appear in a wide range of application domains. Typical tasks in analyzing time-series data include identifying cy...
Matthew O. Ward, Zhenyu Guo
ESORICS
2004
Springer
15 years 3 months ago
Discovering Novel Attack Strategies from INFOSEC Alerts
Abstract. Correlating security alerts and discovering attack strategies are important and challenging tasks for security analysts. Recently, there have been several proposed techni...
Xinzhou Qin, Wenke Lee