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International Conference on Soft Computing in Data Science

SCDS 2016: Soft Computing in Data Science pp 89–99Cite as

Interactive Big Data Visualization Model Based on Hot Issues (Online News Articles)

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 652))

Abstract

Big data is a popular term used to describe a massive volume of data, which is a key component of the current information age. Such data is complex and difficult to understand, and therefore, may be not useful for users in that state. News extraction, aggregation, clustering, news topic detection and tracking, and social network analysis are some of the several attempts that have been made to manage the massive data in social media. Current visualization tools are difficult to adapt to the constant growth of big data, specifically in online news articles. Therefore, this paper proposes Interactive Big Data Visualization Model Based on Hot Issues (IBDVM). IBDVM can be used to visualize hot issues in daily news articles. It is based on textual data clusters in textual databases that improve the performance, accuracy, and quality of big data visualization. This model is useful for online news reader, news agencies, editors, and researchers who involve in textual documents domains.

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Acknowledgment

The authors would like to thank Universiti Teknologi MARA and Ministry of Education, Malaysia (600-RMI/FRGS 5/3(161/2013)) for the financial support.

Author information

Authors and Affiliations

  1. Advanced Analytics Engineering Center (AAEC), Shah Alam, Malaysia

    Wael M. S. Yafooz & Siti Z. Z. Abidin

  2. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia

    Wael M. S. Yafooz, Siti Z. Z. Abidin & Nasiroh Omar

  3. Faculty of Computer and Information Technology, Al Madinah International University, Shah Alam, Malaysia

    Shadi Hilles

Authors
  1. Wael M. S. Yafooz
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  2. Siti Z. Z. Abidin
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  3. Nasiroh Omar
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  4. Shadi Hilles
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Corresponding author

Correspondence to Wael M. S. Yafooz .

Editor information

Editors and Affiliations

  1. University of Tennessee, Knoxville, Tennessee, USA

    Michael W. Berry

  2. Universiti Teknologi MARA, Shah Alam, Malaysia

    Azlinah Hj. Mohamed

  3. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia

    Bee Wah Yap

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© 2016 Springer Nature Singapore Pte Ltd.

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Yafooz, W.M.S., Abidin, S.Z.Z., Omar, N., Hilles, S. (2016). Interactive Big Data Visualization Model Based on Hot Issues (Online News Articles). In: Berry, M., Hj. Mohamed, A., Yap, B. (eds) Soft Computing in Data Science. SCDS 2016. Communications in Computer and Information Science, vol 652. Springer, Singapore. https://doi.org/10.1007/978-981-10-2777-2_8

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  • DOI: https://doi.org/10.1007/978-981-10-2777-2_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2776-5

  • Online ISBN: 978-981-10-2777-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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