Serving Eastern Massachusetts
Course Description
| Course Name: | Temporal Data Mining & Applications in Biomedicine, Marketing & Operations Analytics, and Geo-Monitoring |
| Time & Date: | 8:30 AM - 4:30 PM , Thursday, May 6, 2010 |
| Location: | Holiday Inn Select Hotel, 15 Middlesex Canal Park Rd., Woburn, MA |
| Speaker: | Dr. Theophano Mitsa, Consultant |
| Textbook: | Temporal Data Mining, by Theophano Mitsa. Publishers: Chapman & Hall. |
Overview
Temporal data are of increasing importance in a variety of fields, such as connected health, bioinformatics, web analytics, operations and marketing research, and earth surveillance. Identifying change and delivering quickly the right information to the right person is a key part of having an agile, flexible organization, that understands and responds quickly to the changing needs of its customers and the overall changing environment. The goal of temporal data mining is knowledge discovery related to changes and trends in activity, behavior, and evolution, therefore making it an important first step in achieving agility and flexibility.
This course will cover both the theory and several applications of temporal data mining. Specifically, in the theoretical part, we will cover essential topics in temporal databases, similarity computation, clustering and classification, prediction, and temporal pattern discovery. In the applications part, we will discuss temporal data mining applications in: (a) medicine/bioinformatics, such as physiological time series mining and analysis of gene expression data (b) operations and marketing research, such as temporality of the value chain (c) web usage mining, such as identification of online communities and pattern mining for web site optimization, (d) spatio-temporal data mining, such as trajectory and traffic data mining.
Outline
Temporal data are of increasing importance in a variety of fields, such as connected health, bioinformatics, web analytics, operations and marketing research, and earth surveillance. The course will cover essential topics in temporal data mining and applications in:
(a) medicine/bioinformatics, such as physiological time series mining and analysis of gene expression data
(b) operations and marketing research, such as temporality of value chain management
(c) web usage mining, such as identification of online communities and pattern mining for web site optimization
(d) spatio-temporal data mining, such as trajectory and traffic data mining.
Target Audience:
Signal Processing Engineers, Image Processing/Analysis Engineers, Bioinformatics Engineers, Health Informatics Engineers, Statisticians, Data Mining Engineers, Web Analysts, Quantitative Analysts (Operations Research & Marketing).
Speaker’s Bio:
Dr. Theophano Mitsa has a Ph.D. in Electrical Engineering from the University of Rochester and diverse academic and industrial experience, having served as a faculty member at the Universities of Iowa and Massachusetts and a Senior Software Engineer at GE HealthCare and Abiomed. Dr. Mitsa has a proven record of innovation and scholarly ability with 8 US patents and 46 journal/conference publications in the areas of knowledge discovery, decision support, image processing, and business intelligence. She is the author of “Temporal Data Mining” ( Chapman & Hall publishers). Dr. Mitsa has received research awards from the National Science Foundation, the Whitaker Foundation, Hewlett-Packard, and the Fulbright program. She is currently an independent Data Mining Consultant.
Decision (Run/Cancel) Date for this Courses is Tuesday, April 27, 2010
FEES
Payment received by April 27: IEEE Members $320
Payment received by April 27: Non-members $350
Payment received after April 27: IEEE Members $350
Payment received after April 27: Non-members $375