Automatic recognition of primitive changes in manufacturing process signals

Distributed recognition of patterns in time series data

Communications of the ACM

Simplified time series representations for efficient analysis of industrial process data

Artificial Intelligence for Engineering Design, Analysis and Manufacturing

Polynomial approximation schemes and exact algorithms for optimum curve segmentation problems

Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)

Automatic decomposition of time series into step, ramp, and impulse primitives

Pattern Recognition

Polynomial approximation schemes and exact algorithms for optimum curve segmentation problems

Discrete Applied Mathematics

Adaptive segmentation-based symbolic representations of time series for better modeling and lower bounding distance measures

PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases