Sessions at Open Source Bridge 2011 about Data Mining on Wednesday 22nd June

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  • Data Science in the Open

    by John Taylor

    Data Science promises to transform ubiquitous and cheap data into insights with the potential for great social, scientific and personal value. However, while many of us have the needed hacking skills and domain knowledge, we might not have a strong background in the agglomeration of formal disciplines that underpin data science methods.

    I will provide a lightning tour of high level theory, concepts, and tools to extract knowledge and value from data. These are deep and wide subjects, so emphasis will be placed on the high level structures of data analysis problems that point to good solutions.

    At 9:00am to 9:45am, Wednesday 22nd June

    Coverage note

  • The Big Data Exploratorium: Data Mining, from Patents to Memes

    by Devin Chalmers and Noah Pepper

    Dive deep into the suffocating postmodern ocean of data and come out alive on this interactive tour of low-hanging-fruit data mining tools. Learn to make R graphs both pretty and pretty informative; crunch numbers quickly in high level languages, like a boss; even get your Google on with some maps and reduces. It is widely known: Data scientists have all the fun, so join us!

    As part of the talk, we plan to make available a data set of historical Reddit front pages, to plumb the very depths of nerd humor evolution.

    At 2:30pm to 3:15pm, Wednesday 22nd June

    Coverage note