Another Word For It

New Techniques Turbo-Charge Data Mining by Nicole Hemsoth.

From the post:

While the phrase “spectral feature selection” may sound cryptic (if not ghostly) this concept is finding a welcome home in the realm of high performance data mining.

We talked with an expert in the spectral feature selection for data mining arena, Zheng Zhao from the SAS Institute, about how trends like this, as well as a host of other new developments, are reshaping data mining for both researchers and industry users.

Zhao says that when it comes to major trends in data mining, cloud and Hadoop represent the key to the future. These developments, he says, offer the high performance data mining tools required to tackle the types of large-scale problems that are becoming more prevalent.

In an interview this week, Zhao predicted that over the next few years, large-scale analytics will be at the forefront of both academic research and industry R&D efforts. On one side, industry has strong requirements for new techniques, software and hardware for solving their real problems at the large scale, while on the other hand, academics find this to be an area laden with interesting new challenges to pursue.

For more details, you may want to see our earlier posts:

Spectral Feature Selection for Data Mining

Spectral Graph Theory