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Business Intelligence SIG: Data Mining for Business Intelligence

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Description

  • The Monthly Meeting of the Business Intelligence SIG


     

    Presentation Overview

    Data Mining for Business Intelligence

    Data Mining is the pinnacle of Business Intelligence. Its purpose is to extract ounces of valuable insight from a ton of data. This talk surveys Data Mining and its role in business applications. There is no way to be complete and exhaustive in the time available but we will cover some of the more important algorithms, approaches, problems, tools and methodologies.

    We will review the Cross-Industry Standard Process for Data Mining (CRISP-DM) process model and methodology. Thumbnail sketches of many algorithms and problems will be given, with greater depth for a few including decision tree induction, association rule learning using Apriori, and "frequent item-set mining" using FP-Tree construction by FP-growth. Important business applications such as making recommendations and market basket analysis will be described, especially in the context of web applications. Approaches to commercial deployment will be discussed including Blue Martini's all-in-one approach and alternatives. Finally, we will provide pointers to resources including commercial and open source tools.


     

    About the Presenter

    Paul O'Rorke

    Paul's knowledge of Data Mining goes far back in time since it grew out of Machine Learning and related fields. O'Rorke conducted research in Machine Learning when the field was born and during its early years as it grew into a computational science. He migrated toward applications, moving to the Bay Area and working for a series of Silicon Valley startups primarily on building business applications on the web. Much of his "real-world" experience has been as an architect, designer and developer of web applications built on Java. Paul enjoys being able to pursue his interests in Business Intelligence, Data Mining, Java and web applications and he is especially happy when he can combine all or many of these interests in a single job or project.


     

    Event Logistics

    Location

    Cubberley Community Center
    4000 Middlefield Road, Room H-1
    Palo Alto, CA

     

    Agenda

    6:30 - 7:00 p.m. Registration / Networking / Refreshments (please arrive before 7:00 p.m.)
    7:00 - 8:30 p.m. Presentation and Discussion
     

    Price

    $15 at the door for non-SDForum members
    No charge for SDForum members
    No registration required

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