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<title>Volume 12, Issue 6 (2016) | Journal of Computer Science</title>
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    <title><![CDATA[Ensemble Divide and Conquer Approach to Solve the Rating Scores’ Deviation in Recommendation System]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 25 June 2016; <a href="https://thescipub.com/jcs/jcssp.2016.265.275">doi:10.3844/jcssp.2016.265.275</a></p>The rating matrix of a personalized recommendation system contains a high percentage of unknown rating scores which lowers the quality of the prediction. Besides, during data streaming into memory, so...]]></content:encoded>
    <dc:title><![CDATA[Ensemble Divide and Conquer Approach to Solve the Rating Scores’ Deviation in Recommendation System]]></dc:title><dc:creator>Ismail Ahmed Al-Qasem Al-Hadi</dc:creator><dc:creator>Nurfadhlina Mohd Sharef</dc:creator><dc:creator>Md Nasir Sulaiman</dc:creator><dc:creator>Norwati  Mustapha</dc:creator><dc:identifier>doi:10.3844/jcssp.2016.265.275</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2016-06-25; | doi:10.3844/jcssp.2016.265.275</dc:source>
    <dc:date>2016-06-25</dc:date>
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    <title><![CDATA[Cognitively Inspired Algorithm for Imprecise Navigation]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 14 July 2016; <a href="https://thescipub.com/jcs/jcssp.2016.276.288">doi:10.3844/jcssp.2016.276.288</a></p>This paper presents an algorithm, namely the private navigation algorithm. The aim of this algorithm is to bridge the gap between high quality navigation services and low quality of location informati...]]></content:encoded>
    <dc:title><![CDATA[Cognitively Inspired Algorithm for Imprecise Navigation]]></dc:title><dc:creator>Melissa  Shahrom</dc:creator><dc:creator>Zalilah Abd Aziz</dc:creator><dc:identifier>doi:10.3844/jcssp.2016.276.288</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2016-07-14; | doi:10.3844/jcssp.2016.276.288</dc:source>
    <dc:date>2016-07-14</dc:date>
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    <title><![CDATA[Markov-Modulated Bernoulli-Based Performance Analysis for Gentle BLUE and BLUE Algorithms under Bursty and Correlated Traffic]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 30 June 2016; <a href="https://thescipub.com/jcs/jcssp.2016.289.299">doi:10.3844/jcssp.2016.289.299</a></p>This paper presents a performance study for Gentle BLUE (GB) under the bursty and correlated properties of aggregated network traffic. The Bernoulli Process (BP) fails to represent the properties of a...]]></content:encoded>
    <dc:title><![CDATA[Markov-Modulated Bernoulli-Based Performance Analysis for Gentle BLUE and BLUE Algorithms under Bursty and Correlated Traffic]]></dc:title><dc:creator>Adeeb  Alsaaidah</dc:creator><dc:creator>Mohd  Zalisham</dc:creator><dc:creator>Mohd  Fadzli</dc:creator><dc:creator>Hussein  Abdel-Jaber</dc:creator><dc:identifier>doi:10.3844/jcssp.2016.289.299</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2016-06-30; | doi:10.3844/jcssp.2016.289.299</dc:source>
    <dc:date>2016-06-30</dc:date>
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    <title><![CDATA[Performance of Hybrid GANN in Comparison with Other Standalone Models on Dengue Outbreak Prediction]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 2 July 2016; <a href="https://thescipub.com/jcs/jcssp.2016.300.306">doi:10.3844/jcssp.2016.300.306</a></p>Early prediction of diseases especially dengue fever in the case of Malaysia, is very crucial to enable health authorities to develop response strategies and context preventive intervention programs s...]]></content:encoded>
    <dc:title><![CDATA[Performance of Hybrid GANN in Comparison with Other Standalone Models on Dengue Outbreak Prediction]]></dc:title><dc:creator>Nor Azura Husin</dc:creator><dc:creator>Norwati  Mustapha</dc:creator><dc:creator>Md. Nasir Sulaiman</dc:creator><dc:creator>Razali  Yaacob</dc:creator><dc:creator>Hazlina  Hamdan</dc:creator><dc:creator>Masnida  Hussin</dc:creator><dc:identifier>doi:10.3844/jcssp.2016.300.306</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2016-07-02; | doi:10.3844/jcssp.2016.300.306</dc:source>
    <dc:date>2016-07-02</dc:date>
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    <title><![CDATA[Applying Data Warehousing in University Information Systems in Kingdom of Saudi Arabia: A Conceptual Discussion]]></title>
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        <![CDATA[<p>Journal of Computer Science, Published online: 13 July 2016; <a href="https://thescipub.com/jcs/jcssp.2016.307.313">doi:10.3844/jcssp.2016.307.313</a></p>The Kingdom of Saudi Arabia education system is on the right way to be one of the finest education systems among the world’s education system. The most important aim is to develop the Saudi Arabia e...]]></content:encoded>
    <dc:title><![CDATA[Applying Data Warehousing in University Information Systems in Kingdom of Saudi Arabia: A Conceptual Discussion]]></dc:title><dc:creator>Hisham  Al Saghier</dc:creator><dc:identifier>doi:10.3844/jcssp.2016.307.313</dc:identifier>
    <dc:source>Journal of Computer Science, Published online: 2016-07-13; | doi:10.3844/jcssp.2016.307.313</dc:source>
    <dc:date>2016-07-13</dc:date>
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