Editors:
- 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)
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Front Matter
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Machine Learning and Data Mining Applications (MLDM)
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Front Matter
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Software/Frameworks for Machine Learning and Data Mining Applications (Software)
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Front Matter
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Social Networks (SocialNets)
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Front Matter
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Bioinformatics (Bio)
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Front Matter
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About this book
• 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
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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