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GFKL
2005
Springer
133views Data Mining» more  GFKL 2005»
14 years 3 months ago
Finding Persisting States for Knowledge Discovery in Time Series
Abstract. Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the ...
Fabian Mörchen, Alfred Ultsch
ESWA
2007
96views more  ESWA 2007»
13 years 9 months ago
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
José Luis Aznarte, José Manuel Benit...
KDD
1999
ACM
117views Data Mining» more  KDD 1999»
14 years 1 months ago
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
Tim Oates
ADC
2005
Springer
122views Database» more  ADC 2005»
14 years 3 months ago
Finding Similarity in Time Series Data by Method of Time Weighted Moments
Similarity search in time series data is an active area of research in data mining. In this paper we introduce a new approach for performing similarity search over time series dat...
Durga Toshniwal, Ramesh C. Joshi
IPMU
2010
Springer
14 years 1 months ago
Short-Time Prediction Based on Recognition of Fuzzy Time Series Patterns
This article proposes knowledge-based short-time prediction methods for multivariate streaming time series, relying on the early recognition of local patterns. A parametric, well-i...
Gernot Herbst, Steffen F. Bocklisch