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      <title-group>
        <article-title>kDCI: on using direct count up to the third iteration</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Salvatore Orlando</string-name>
          <email>orlando@dsi.unive.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Claudio Lucchese HPC Lab of ISTI-CNR Pisa</institution>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Raffaele Perego HPC Lab of ISTI-CNR Pisa</institution>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Universit`a Ca' Foscari Venezia</institution>
          ,
          <country country="IT">Italy</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>[1] C.Targa, A.Prado, and A.Plastino. Improving direct counting for frequent set mining. Technical report, Instituto de Computa¸c˜ao, UFF RT-02/09 2003. [2] Claudio Lucchese, Salvatore Orlando, Paolo Palmerini, Raffaele Perego, and Fabrizio Silvestri. kdci: a multistrategy algorithm for mining frequent sets. In Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations, November 2003. [3] S. Orlando, P. Palmerini, R. Perego, and F. Silvestri. Adaptive and resource-aware mining of frequent sets. In Proc. The 2002 IEEE International Conference on Data Mining (ICDM02), page 338345, 2002.</p>
      </abstract>
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      <p>The experiments show that the improvement given
by this optimization is sensible in some cases. The
time needed for the third iteration is halved. Note that</p>
      <p>2 4 6 iteration 8 10 12 14
Figure 1. The dataset used was T10I4D100K
with a minimum absolute support of 10.</p>
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