Text and Data Mining workshop LIBER conference

At new desk in Florida working out the KinKs

Text and Data Mining workshop LIBER conference

created with KNIME. A line plot showing the first 8 columns (attributes) of the vehicle data set.

TDM workshop at DISH2015

Text and Data Mining workshop LIBER conference

Text and Data Mining workshop LIBER conference

TDM workshop at DISH2015

Text and Data Mining workshop LIBER conference

Text and Data Mining workshop LIBER conference

TDM workshop at DISH2015

TDM workshop at DISH2015

Text and Data Mining workshop LIBER conference

sinclair@stanyangroup.com

Text and Data Mining workshop LIBER conference

Text and Data Mining workshop LIBER conference

Text and Data Mining workshop LIBER conference

Text and Data Mining workshop LIBER conference

Text and Data Mining workshop LIBER conference

Mining Scientific Publications, JCDL2016

TDM workshop at DISH2015

TDM workshop at DISH2015

Mining Scientific Publications, JCDL2016

TDM workshop at DISH2015

Text and Data Mining workshop LIBER conference

Mining Scientific Publications, JCDL2016

TDM workshop at DISH2015

Text and Data Mining workshop LIBER conference

It is best practice to enrich existing content with correct and sufficient metadata before documents are migrated to a new Enterprise Content Management System. It decreases the cost and effort. Furthermore, DiscoveryOne Content Enrichment auto-categorizes your documents according to its true content, instead of focusing on previously created insufficient or incorrect metadata.

Learn more: pingar.com/content-enrichment/

2d visualization of rules using KNIME

Text and Data Mining workshop LIBER conference

Text and Data Mining workshop LIBER conference

Mining Scientific Publications, JCDL2016

TDM workshop at DISH2015