• Fielded applications of data mining and machine learning

    Discover the importance of data mining machine learning and find out about fielded applications of data mining and machine learning in this tutorial from the book Data Mining: Know it All.

    ITKE350,790 pointsBadges:
  • Turnaround artist does data mining for dollars

    Steeped in finance and IT, Shyam Desigan, of the American Academy of Physician Assistants, taps big data analytics to return bottom lines to profitability.

    DEssex670 pointsBadges:
  • Analysis: Big Data skills

    Big Data skills include natural language processing and text mining, and familiarity with Clojure, Scala, Python, Hadoop and Java; also useful are data mining skills with tools like R and Mathlab; finally, look for scripting and functional language skills with Erlang and new database development...

    ITKE350,790 pointsBadges:
  • OpenDNS’ Hubbard predicts Internet threats with security analytics

    OpenDNS CTO Dan Hubbard says big data techniques like machine learning and data mining can be used to spot and mitigate unknown Internet threats.

    Brandan945 pointsBadges:
  • Text mining tools and prediction markets extract insight from unstructured data

    Organizations too often ignore unstructured data when making high-level, strategic decisions. Text-mining and prediction-market tools can help.

    SearchCIOMidmarket9,485 pointsBadges:
  • Do you think data mining social media has business value beyond advertising?

    Caroline de Lacvivier410 pointsBadges:
  • Data mining social media: Twitter’s untapped potential

    Data mining social media can help businesses gather crucial information. This article gives advice to developers who want to get started.

    Caroline de Lacvivier410 pointsBadges:
  • The difference between machine learning and statistics in data mining

    Discover the difference between machine learning and statistics and find out how generalization as search can be a data mining tool. Learn about the bias of the search, including information on language bias, search bias and overfitting-avoidance bias.

    ITKE350,790 pointsBadges:
  • SQL Server 2008 aims to simplify the mundane

    More data mining tools are put into the hands of users in the next release of SQL Server due out later this year.

    ctorode880 pointsBadges:
  • Mainframe plays key role in information on demand

    The mainframe remains the data server for the majority of the world's business-critical data. However, data-mining analysis tools to take advantage of this data are typically narrowly confined.

    WKernochan420 pointsBadges:

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