Data Management & Engineering: Home

The Data Management and Engineering investigates techniques for storing and retrieving diverse data types in a secure and scalable manner, as well as data mining and knowledge discovery mechanisms. Current research themes in this area are:

• Knowledge Discovery & Data Mining
• Machine Learning & Deep Learning
• Visual Computing & Multimedia Analytics
• Spatial & Context-Aware Data Management
• Recommender Systems & Preference Analytics
• Natural Language Processing & Text Mining
• Crowdsourcing and Human Computation

This guide leads you to a variety range of resources on Data Management & Engineering.

This research guide is created and maintained by Wei XIA.

March/April issue of Analytics Magazine:

• Douglas A. Samuelson, in the cover story, looks at an unusual tool in the analytics kit in "Wargaming for Fun and Profit."
• Eric Fisher, Atanu Basu, Joachim Hubele and Eric Levine describe a proposed evolution for buyers and sellers of television advertising in "TV Ads, Wanamaker's Dilemma & Analytics."
• Denise Bedford shows how semantic applications help organizations achieve productivity increases in "Enterprise-level Semantic Technologies."

Happy Reading Analytics!