5th International Symposium on Data Mining Applications

  • Mamdouh Alenezi
  • Basit Qureshi
Conference proceedings

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 753)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Machine Learning and Data Mining Applications (MLDM)

    1. Front Matter
      Pages 1-1
    2. Ibrahim Rizqallah Alzahrani, Naeem Ramzan, Stamos Katsigiannis, Abbes Amira
      Pages 3-11
    3. Alaa Almjewail, Aljoharah Almjewail, Suha Alsenaydi, Haifa ALSudairy, Isra Al-Turaiki
      Pages 12-25
    4. Eman Saad AL-Hagbani, Mohammad Badruddin Khan
      Pages 26-35
  3. Software/Frameworks for Machine Learning and Data Mining Applications (Software)

    1. Front Matter
      Pages 61-61
    2. Wajdi Aljedaani, Yasir Javed
      Pages 63-73
    3. Sarab A. AlMuhaideb, Sarah M. AlMuhanna
      Pages 95-109
  4. Social Networks (SocialNets)

    1. Front Matter
      Pages 111-111
    2. Mohammed Alshahrani, Fuxi Zhu, Ahmed Sameh, Lin Zheng, Summaya Mumtaz
      Pages 113-132
    3. Kamahazira Zainal, Mohd Zalisham Jali, Abu Bakar Hasan
      Pages 133-152
    4. Nafla Alrumayyan, Sumayah Bawazeer, Rehab AlJurayyad, Muna Al-Razgan
      Pages 153-168
    5. Abeer Nafel Alharbi, Hessah Alnnamlah, Liyakathunisa
      Pages 169-180
    6. Layal Abu Daher, Rached Zantout, Islam Elkabani, Khaled Almustafa
      Pages 181-194
  5. Bioinformatics (Bio)

    1. Front Matter
      Pages 195-195
    2. A. Meraoumia, S. Chitroub, O. Chergui, H. Bendjenna
      Pages 197-209

About these proceedings

Introduction

The 5th Symposium on Data Mining Applications (SDMA 2018) provides valuable opportunities for technical collaboration among data mining and machine learning researchers in Saudi Arabia, Gulf Cooperation Council (GCC) countries and the Middle East region. This book gathers the proceedings of the SDMA 2018. All papers were peer-reviewed based on a strict policy concerning the originality, significance to the area, scientific vigor and quality of the contribution, and address the following research areas.
• Applications: Applications of data mining in domains including databases, social networks, web, bioinformatics, finance, healthcare, and security.
• Algorithms: Data mining and machine learning foundations, algorithms, models, and theory.
• Text Mining: Semantic analysis and mining text in Arabic, semi-structured, streaming, multimedia data.
• Framework: Data mining frameworks, platforms and systems implementation.
• Visualizations: Data visualization and modeling.

Keywords

Data Mining Data Mining Applications Data Mining Foundation Algorithms Data Mining Frameworks and Platforms Data Visualizations and Modelling

Editors and affiliations

  • Mamdouh Alenezi
    • 1
  • Basit Qureshi
    • 2
  1. 1.Prince Sultan UniversityRiyadhSaudi Arabia
  2. 2.Prince Sultan UniversityRiyadhSaudi Arabia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-78753-4
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-78752-7
  • Online ISBN 978-3-319-78753-4
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book