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Data Management & Engineering: Home

Research guide to resources for Data Management & Analytics

Information Systems Research Guides

Data Management & Engineering

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.

What's New

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!

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Research Librarian

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Wei Xia
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