- editor-initiated
-
How did you find the session ? Please give us your feedback by voting and making comments.
Huge sets of data are generated every day by people using online applications, whether they're blogging, shopping, or just clicking on links. Many techniques for analyzing and interpreting these datasets exist in the fields of data-mining and machine learning, making it possible to use this data to draw new conclusions and build predictive models.
This talk will use this idea to explore some analyses of how bloggers and buyers cluster together, what message boards tell us about psychographics, predictive models for hotness and home prices, and other insights that can be gleaned from publicly available data.
I'll show you the way the data was collected, an overview of how the algorithm works, and some results.
I thought this session was quite good. The presentation was very abstract and could have used some more practical examples, but it captured the imagination and provided a lot of ideas for how to leverage our existing data further.
Andrew