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    <title><![CDATA[Data Mining: A Preprocessing Engine]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2006; <a href="https://thescipub.com/abstract/jcssp.2006.735.739">doi:10.3844/jcssp.2006.735.739</a></p>This study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy and tree growing time are thre...]]></content:encoded>
    <dc:title><![CDATA[Data Mining: A Preprocessing Engine]]></dc:title><dc:creator>Luai A. Shalabi</dc:creator><dc:creator>Zyad  Shaaban</dc:creator><dc:creator>Basel  Kasasbeh</dc:creator><dc:identifier>doi:10.3844/jcssp.2006.735.739</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2006-09-30; | doi:10.3844/jcssp.2006.735.739</dc:source>
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    <title><![CDATA[Computational Complexity between K-Means and K-Medoids Clustering Algorithms for Normal and Uniform Distributions of Data Points]]></title>
    <link>https://thescipub/abstract/jcssp.2010.363.368</link>
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        <![CDATA[<p>Journal of Computer Science, Published online: 31 March 2010; <a href="https://thescipub.com/abstract/jcssp.2010.363.368">doi:10.3844/jcssp.2010.363.368</a></p>Problem statement: Clustering is one of the most important research areas in the field of data mining. Clustering means creating groups of objects based on their features in such a way that the object...]]></content:encoded>
    <dc:title><![CDATA[Computational Complexity between K-Means and K-Medoids Clustering Algorithms for Normal and Uniform Distributions of Data Points]]></dc:title><dc:creator>T.  Velmurugan</dc:creator><dc:creator>T.  Santhanam</dc:creator><dc:identifier>doi:10.3844/jcssp.2010.363.368</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2010-03-31; | doi:10.3844/jcssp.2010.363.368</dc:source>
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    <title><![CDATA[Combined DWT-DCT Digital Image Watermarking]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 September 2007; <a href="https://thescipub.com/abstract/jcssp.2007.740.746">doi:10.3844/jcssp.2007.740.746</a></p>The proliferation of digitized media due to the rapid  growth of networked multimedia systems, has created an urgent need for copyright enforcement technologies that can protect copyright ownership of...]]></content:encoded>
    <dc:title><![CDATA[Combined DWT-DCT Digital Image Watermarking]]></dc:title><dc:creator>Ali  Al-Haj</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.740.746</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-09-30; | doi:10.3844/jcssp.2007.740.746</dc:source>
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    <title><![CDATA[A Mobile Robot Path Planning Using Genetic Algorithm in Static Environment ]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 April 2008; <a href="https://thescipub.com/abstract/jcssp.2008.341.344">doi:10.3844/jcssp.2008.341.344</a></p>In this study we present our initial idea for using genetic algorithms to help a controllable mobile robot to find an optimal path between a starting and ending point in a grid environment. The mobile...]]></content:encoded>
    <dc:title><![CDATA[A Mobile Robot Path Planning Using Genetic Algorithm in Static Environment ]]></dc:title><dc:creator>Ismail  AL-Taharwa</dc:creator><dc:creator>Alaa  Sheta</dc:creator><dc:creator>Mohammed  Al-Weshah</dc:creator><dc:identifier>doi:10.3844/jcssp.2008.341.344</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2008-04-30; | doi:10.3844/jcssp.2008.341.344</dc:source>
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    <title><![CDATA[The Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image Analysis ]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 June 2007; <a href="https://thescipub.com/abstract/jcssp.2007.419.423">doi:10.3844/jcssp.2007.419.423</a></p>Several classification algorithms for pattern recognition had been tested in the mapping of tropical forest cover using airborne hyperspectral data. Results from the use of Maximum Likelihood (ML), Sp...]]></content:encoded>
    <dc:title><![CDATA[The Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image Analysis ]]></dc:title><dc:creator>Helmi Zulhaidi Mohd Shafri</dc:creator><dc:creator>Affendi  Suhaili</dc:creator><dc:creator>Shattri  Mansor</dc:creator><dc:identifier>doi:10.3844/jcssp.2007.419.423</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2007-06-30; | doi:10.3844/jcssp.2007.419.423</dc:source>
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