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5th International Symposium on Data Mining Applications

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Mamdouh Alenezi

    1. Prince Sultan University, Riyadh, Saudi Arabia

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    You can also search for this editor in PubMed   Google Scholar

  2. Basit Qureshi

    1. Prince Sultan University, Riyadh, Saudi Arabia

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    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research on Data Mining applications
  • Gathers the results of the 5th International Symposium on Data Mining Applications (SDMA 2018), held in Riyadh, Saudi Arabia on March 21–22, 2018
  • Addresses the main topics of interest related to Data Mining and its applications through both invited and contributed talks describing research ideas, new challenges, advanced research and practical findings

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

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Table of contents (18 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement

      • Ibrahim Rizqallah Alzahrani, Naeem Ramzan, Stamos Katsigiannis, Abbes Amira
      Pages 3-11

    3. Analysis of Traffic Accident in Riyadh Using Clustering Algorithms

      • Alaa Almjewail, Aljoharah Almjewail, Suha Alsenaydi, Haifa ALSudairy, Isra Al-Turaiki
      Pages 12-25

    4. Support of Existing Chatbot Development Framework for Arabic Language: A Brief Survey

      • Eman Saad AL-Hagbani, Mohammad Badruddin Khan
      Pages 26-35

    5. The Generative Power of Arabic Morphology and Implications: A Case for Pattern Orientation in Arabic Corpus Annotation and a Proposed Pattern Ontology

      • Mohammed A. El-Affendi
      Pages 36-45

    6. A Benchmark Collection for Mapping Program Educational Objectives to ABET Student Outcomes: Accreditation

      • Addin Osman, Anwar Ali Yahya, Mohammed Basit Kamal
      Pages 46-60

  3. Software/Frameworks for Machine Learning and Data Mining Applications (Software)

    1. Front Matter

      Pages 61-61
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    2. Bug Reports Evolution in Open Source Systems

      • Wajdi Aljedaani, Yasir Javed
      Pages 63-73

    3. Analysis of Call Detail Records for Understanding Users Behavior and Anomaly Detection Using Neo4j

      • Emsaieb Geepalla, Nasser Abuhamoud, Abdulla Abouda
      Pages 74-83

    4. Empirical Analysis of Static Code Metrics for Predicting Risk Scores in Android Applications

      • Mamdouh Alenezi, Iman Almomani
      Pages 84-94

    5. Toward Stream Analysis of Software Debugging Data

      • Sarab A. AlMuhaideb, Sarah M. AlMuhanna
      Pages 95-109

  4. Social Networks (SocialNets)

    1. Front Matter

      Pages 111-111
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    2. Evaluating the Influence of Twitter on the Saudi Arabian Stock Market Indicators

      • Mohammed Alshahrani, Fuxi Zhu, Ahmed Sameh, Lin Zheng, Summaya Mumtaz
      Pages 113-132

    3. Comparative Analysis of Danger Theory Variants in Measuring Risk Level for Text Spam Messages

      • Kamahazira Zainal, Mohd Zalisham Jali, Abu Bakar Hasan
      Pages 133-152

    4. Analyzing User Behaviors: A Study of Tips in Foursquare

      • Nafla Alrumayyan, Sumayah Bawazeer, Rehab AlJurayyad, Muna Al-Razgan
      Pages 153-168

    5. Classification of Customer Tweets Using Big Data Analytics

      • Abeer Nafel Alharbi, Hessah Alnnamlah, Liyakathunisa
      Pages 169-180

    6. Evolution of Hashtags on Twitter: A Case Study from Events Groups

      • Layal Abu Daher, Rached Zantout, Islam Elkabani, Khaled Almustafa
      Pages 181-194

  5. Bioinformatics (Bio)

    1. Front Matter

      Pages 195-195
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    2. Investments in Deep Learning Techniques for Improving the Biometric System Accuracy

      • A. Meraoumia, S. Chitroub, O. Chergui, H. Bendjenna
      Pages 197-209
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Keywords

About this book

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.



Editors and Affiliations

  • Prince Sultan University, Riyadh, Saudi Arabia

    Mamdouh Alenezi, Basit Qureshi

Bibliographic Information

  • Book Title: 5th International Symposium on Data Mining Applications

  • Editors: Mamdouh Alenezi, Basit Qureshi

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-78753-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Softcover ISBN: 978-3-319-78752-7Published: 29 March 2018

  • eBook ISBN: 978-3-319-78753-4Published: 28 March 2018

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XVI, 248

  • Number of Illustrations: 98 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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