Synthetic Control Chart Time Series

Data Type

time series

Abstract

This data consists of synthetically generated control charts.

Sources

Original Owner and Donor

Dr Robert Alcock 
rob@skyblue.csd.auth.gr

Date Donated: June 8, 1999

Data Characteristics

This dataset contains 600 examples of control charts synthetically generated by the process in Alcock and Manolopoulos (1999). There are six different classes of control charts:

Normal
Cyclic
Increasing trend
Decreasing trend
Upward shift
Downward shift

The following image shows ten examples from each class:

(A) Downward Trend. (B) Cyclic. (C) Normal. (D) Upward Shift. (E) Upward Trend. (F) Downward Shift.

Data Format

The data is stored in an ASCII file, 600 rows, 60 columns, with a single chart per line. The classes are organized as follows:

1-100   Normal
101-200 Cyclic
201-300 Increasing trend
301-400 Decreasing trend
401-500 Upward shift
501-600 Downward shift

Past Usage

Alcock R.J. and Manolopoulos Y. Time-Series Similarity Queries Employing a Feature-Based Approach. 7th Hellenic Conference on Informatics. August 27-29. Ioannina,Greece 1999.

Acknowledgements, Copyright Information, and Availability

Image courtesy of Eamonn Keogh.

References and Further Information

D.T. Pham and A.B. Chan "Control Chart Pattern Recognition using a New Type of Self Organizing Neural Network" Proc. Instn, Mech, Engrs. Vol 212, No 1, pp 115-127 1998.

The UCI KDD Archive
Information and Computer Science
University of California, Irvine
Irvine, CA 92697-3425
Last modified: June 14, 1999 </HTML>

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