Data Mining and Knowledge Discovery for Process Monitoring and Control

Integrating KPCA with an Improved Evolutionary Algorithm for Knowledge Discovery in Fault Diagnosis

IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents

Simplified time series representations for efficient analysis of industrial process data

Artificial Intelligence for Engineering Design, Analysis and Manufacturing

Process analysis and product quality estimation by self-organizing maps with an application to polyethylene production

Computers in Industry - Special issue: Soft computing in industrial applications

Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The PAELLA Algorithm

Data Mining and Knowledge Discovery

Data mining in the chemical industry

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

Artificial intelligence for monitoring and supervisory control of process systems

Engineering Applications of Artificial Intelligence

Using uncertain chemical and thermal data to predict product quality in a casting process

Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data

Modified Gath--Geva clustering for fuzzy segmentation of multivariate time-series

Fuzzy Sets and Systems

Stochastic texture analysis for monitoring stochastic processes in industry

Pattern Recognition Letters

Visualizing time series state changes with prototype based clustering

ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms

Intelligent machine agent architecture for adaptive control optimization of manufacturing processes

Advanced Engineering Informatics

Directed knowledge discovery methodology for the prediction of ozone concentration

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I

Fault detection in continuous industrial chemical processes: a new approach using the hidden markov modeling. case study

IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning