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TSDM
2000
151views Data Mining» more  TSDM 2000»
13 years 8 months ago
Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events
The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time series. The TSDM framework adapts and innovates data mining concepts to analyzing time ser...
Richard J. Povinelli
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
13 years 11 months ago
Nonlinearity linkage detection for financial time series analysis
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
Theodore Chiotis, Christopher D. Clack
DMIN
2006
138views Data Mining» more  DMIN 2006»
13 years 6 months ago
Financial Time Series Segmentation based on Specialized Binary Tree Representation
Segmentation is one of the fundamental components in time series data mining. One of the uses of the time series segmentation is trend analysis - to segment the time series into pr...
Tak-Chung Fu, Fu-Lai Chung, Chak-man Ng
ICSM
2007
IEEE
13 years 11 months ago
Discovering Dynamic Developer Relationships from Software Version Histories by Time Series Segmentation
Time series analysis is a promising approach to discover temporal patterns from time stamped, numeric data. A novel approach to apply time series analysis to discern temporal info...
Harvey P. Siy, Parvathi Chundi, Daniel J. Rosenkra...