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  <doi_batch_id>aspg-31-2379-1791686685</doi_batch_id>
  <timestamp>20261011024445</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Advances in Applied Computational Intelligence</full_title>
    <abbrev_title>IJAACI</abbrev_title>
    <issn media_type="electronic">2833-5600</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <journal_volume>
     <volume>4</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>A comparison study Big Data Analytics Methods for Selecting Suitable Method</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Samah I. Abdel</given_name>
      <surname>Aal</surname>
      <affiliations>
       <institution>
        <institution_name>Faculty of Computers and Informatics, Zagazig University, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Nowadays, Big Data become very critical and can help organizations to make decisions by analyzing feedback and reviews from customers. There are large amounts of data that is growing because of the extensive use of networks, social media, and other sources. Big data analytics can enhance a company's understanding of a customer's needs and preferences. By analyzing data organizations can personalize and relevant product or service; So that, there is a need to analyze such huge amounts of data. There are many types of analytics methods and each one has its own objectives. Therefore, this work highlights two ways for classifying big data analytics methods. Big data models and their methodologies were clearly outlined in this paper. Additionally we compare different categories of big data analytics techniques depending on data kinds like audio, video, social media, and predictive analytics. Also, this work intended to study the big data analytics methods for selecting the suitable method.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>08</first_page>
     <last_page>14</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2379</item_number>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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    <doi_data>
     <doi>10.54216/IJAACI.040201</doi>
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