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WSOM
2009
Springer
16 years 26 days ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...
CHI
2009
ACM
16 years 6 months ago
Sizing the horizon: the effects of chart size and layering on the graphical perception of time series visualizations
We investigate techniques for visualizing time series data and evaluate their effect in value comparison tasks. We compare line charts with horizon graphs--a space-efficient time ...
Jeffrey Heer, Nicholas Kong, Maneesh Agrawala
ASMTA
2009
Springer
114views Mathematics» more  ASMTA 2009»
15 years 10 months ago
Improving the Efficiency of the Proxel Method by Using Individual Time Steps
Discrete stochastic models (DSM) are widely used in various application fields today. Proxel-based simulation can outperform discrete event-based approaches in the analysis of smal...
Claudia Krull, Robert Buchholz, Graham Horton
ESA
2009
Springer
90views Algorithms» more  ESA 2009»
16 years 25 days ago
Storing a Compressed Function with Constant Time Access
We consider the problem of representing, in a space-efficient way, a function f : S → Σ such that any function value can be computed in constant time on a RAM. Specifically, ou...
Jóhannes B. Hreinsson, Morten Krøyer...
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
16 years 3 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...