June 2017: How Automation Can Help You Implement Governed Data Discovery

Presented by Joseph Treadwell

Lead Solution Specialist at TimeXtender North America

In today’s age of analytics, businesses are demanding self-service access to their corporate data, while struggling to make sense of raw data at the source. In response to this, recent analyst reports have revealed a new form of BI architecture known as Governed Data Discovery.
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May 2017: Semantic Data Mining & Deep Learning in Health Datasets

Presented by Dr. Dejing Dou

Professor, University of Oregon, Computer and Information Science Department

UPDATED: Dr. Dejing Dou’s presentation is available for download.

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”