Network data:

PAVE (Performance Analysis and Visualization of Enterprise Workflow): Developing flow graphs for studying the paths that trouble tickets take from creation to closure, methods for determining the low-lying fruit for process improvement and metrics for assessing the impact of these initiatives.

Over fifty publications in the statistical literature and a number of publications in the data networking research literature:  For example, Scalable Network Assessment for IP Telephony.  B. Karacali and L. Denby and J. Meloche, Proc. of the 2004 IEEE Intl. Conf. on Communications (ICC-04), 2004 describes our "blame attribution" algorithm that automatically pinpoints trouble spots in the network.  A methodological paper is Random Location and Scale Effects: Model Building Methods for a General Class of Models . W. S. Cleveland, L. Denby, and C. Liu (2000). Computing Science and Statistics, 32, 3-10, Interface Foundations of North America 32 describes a new class of models for taking into account rater bias in the analysis of questionnaire data. I have one patent issued and 9 patent applications in network applications.