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Paolo D'Alberto

  1. Non-Parametric Methods Applied to the N-Sample Series Comparison.

    Чт, 05/10/2012 - 15:01 — SomNambul
    Authors: Paolo D'Alberto, Ali Dasdan, Chris Drome
    Subjects: Computation
    Abstract

    Anomaly and similarity detection in multidimensional series have a long
    history and have found practical usage in many different fields such as
    medicine, networks, and finance. Anomaly detection is of great appeal for many
    different disciplines; for example, mathematicians searching for a unified
    mathematical formulation based on probability, statisticians searching for
    error bound estimates, and computer scientists who are trying to design fast
    algorithms, to name just a few.

  2. On the Weakenesses of Correlation Measures used for Search Engines' Results (Unsupervised Comparison of Search Engine Rankings).

    Пт, 07/15/2011 - 15:01 — SomNambul
    Authors: Paolo D'Alberto, Ali Dasdan
    Subjects: Computation
    Abstract

    The correlation of the result lists provided by search engines is fundamental
    and it has deep and multidisciplinary ramifications. Here, we present automatic
    and unsupervised methods to assess whether or not search engines provide
    results that are comparable or correlated. We have two main contributions:
    First, we provide evidence that for more than 80% of the input queries -
    independently of their frequency - the two major search engines share only
    three or fewer URLs in their search results, leading to an increasing
    divergence.

Math-arch

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