May 2017: Semantic Data Mining & Deep Learning in Health Datasets

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Presented by Dr. Dejing Dou

Professor, University of Oregon, Computer and Information Science Department

Ontologies have been well used in the biomedical and health domains. Semantic data mining refers to the data mining tasks that systematically incorporate domain knowledge, especially formal semantics, into the process. The use of ontologies in mining healthcare and medicine data is a natural fit. In this talk, we focus on the use of formal (Semantic Web) ontologies in two data mining and deep learning tasks in health datasets. Continue reading “May 2017: Semantic Data Mining & Deep Learning in Health Datasets”

March 2017: The Analytical Data Mart and The Customer Analytic Record

Presented by Dr. Bob Nisbet

Instructor, Predictive Analytics Certificate Program, University of California, Irvine

The rise of Predictive Analytics in business will generate many opportunities for data managers. The Business Ecosystem has arrived, and Predictive Analytics models are the “windows” into understanding its operational complexity. Continue reading “March 2017: The Analytical Data Mart and The Customer Analytic Record”

February 2017: Agile Data Warehousing, Building a Virtualized ODS

Presented by Kent Graziano

Senior Technical Evangelist at Snowflake Computing

At a past client, in order to meet timelines to fulfill urgent, unmet reporting needs, we found it necessary to build a virtualized Operational Data Store (ODS) as the first phase of a new Data Vault 2.0 project. This allowed us to deliver new objects, quickly and incrementally to the report developer so we could quickly show the business users their data. Continue reading “February 2017: Agile Data Warehousing, Building a Virtualized ODS”