Temporal Data Mining via Unsupervised Ensemble Learning

Acknowledgments

First of all, the author would like to thank his parents for their boundless love and encouragement, not to mention their grit and tenacity they have shown him for dealing with any problem, their fortitude through tough time strongly inspires his life and has instilled in him the inner strength and determination which is vital to the completion of this book.

Also the author is grateful to Eamonn Keogh who provided the Benchmark time series data set for evaluating their proposed models; Alexander Strehl who published his Cluster Ensemble code online in helping him to complete the comparative studies shown in this book.

Finally, the author wishes to acknowledge the financial support from the Chinese Natural Science Foundation (CNSF) ...