They joined efforts with the lab as part of the Scientific Data Management Group. Dr. Lazar and her student, Zack, were sponsored by the Department of Energy through the Visiting Faculty Program. They worked closely with the Energy Technology Area on a research project titled “Sequence Cluster Analysis for Identifying Long-term Lifecycle Trajectory Patterns.”
This research project was performed to further study the relationship between life-cycle patterns and decisions or choices (such as the choices of purchasing a home, owning a car, or investing in new technologies). Dr. Lazar and Harnett assisted the Lawrence Berkeley National Lab to show the wide availability of mobile devices and sensors that are connected to the internet. They collected research in data sets to model long-term user behavior of both test variables.
The research Dr. Lazar and Harnett assisted with observed sequence data representations, as well as several methods designed to test similarity algorithms. Methods to test these algorithms can range from classical approaches to a system called Optimal Matching. The methods used can then display what it would take to overcome the issues present between life-cycle patterns and decisions. It can also use strategies to model real sequence data to identify life-long behavior and produce descriptive self-explanatory visualizations even in the presence of disturbances and missing values.
Dr. Alina Lazar is a Professor in the Department of Computer Science and Information Systems. She completed her PhD in Computer Science in 2002 from Wayne State University. She specializes in several areas like data analysis, algorithms, and data mining.