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crisis data
Big Data: A Natural Solution for Disaster Relief
Last Friday, a 10,000-ton meteor sped into northern Russia at 40,000 miles per hour. The resulting shock wave hurt an estimated 1,000 people. With big data as common in science as it is everywhere else, could we have used better tools to see this coming?[read more]
Big Data and Crowdsourcing in Humanitarian Crisis Mapping
During Hurricane Sandy, 20 million tweets were posted about the disaster in a 5 day period. During the 2011 9.0 earthquake in Japan, approximately 18 million tweets per hour were posted about the disaster. The volume, velocity, and variety of this type of data stream are staggering, but the data must be analyzed in order to gleam insights about what and where crises are occurring.[read more]
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SmartData Collective
“As usual, Dean, I agree on all counts. This is piece that everyone leaves out ... Feature creation. CRISP-DM refers to it as Data Augmentation. There is simply no 'auto' Modeling technique, yet, does it. Even though feature reduction is no picnic, it is easier than feature augmentation. Once you have done all of that the Modeling is perhaps the easiest step. I think for most of us it is the most ...”
“Very interesting article. I wodered if some of the things that I "like" might seem random but you point out that it actually helps add detail to a more complex profile. Will this give me pause in "liking" things?The reason why I "like" things is to show approval of the perosn who posted the content. This article isn't likely to alter that behavior but it's good to know.One reason why I do resist ...”