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Journal of Computational Social Dynamics

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Published

2023-09-30

Issue

Vol. 8 No. 9 (2023): Journal of Computational Social Dynamics-September-2023

Section

Articles

How to Cite

Abdullah, F. B., & Hassan, M. A. B. (2023). From Data to Insights: A Comprehensive Study of Data Preparation, Transformation, and Visualization Techniques in Big Data Analytics. Journal of Computational Social Dynamics, 8(9), 25–31. Retrieved from https://vectoral.org/index.php/JCSD/article/view/36

From Data to Insights: A Comprehensive Study of Data Preparation, Transformation, and Visualization Techniques in Big Data Analytics

Faridah Binti Abdullah

Department of Computer Science, Universiti Malaysia Sabah (UMS)

Mohd Amirul Bin Hassan

Department of Information Technolog, Universiti Malaysia Kelantan (UMK)

Keywords: Big data, data preparation, data transformation, data visualization, data mining, machine learning, visual analytics

Abstract

The emergence of big data presents opportunities as well as challenges in deriving meaningful insights for enhanced decision-making. This paper provides a comprehensive overview of the data preparation, transformation, and visualization techniques used in big data analytics. We first introduce the properties of big data and the analytics process. Next, we discuss data preparation tasks like data cleaning, integration, reduction, and transformation. Data mining, statistical learning, and machine learning techniques used for analysis are examined. The role of visualization techniques like charts, plots, dashboards and interactive visual analytics in discovering patterns, trends and outliers is explained. Example implementations of data preparation, analytics and visualization methods using tools like Hadoop, Spark, R and Python on real-world big data are provided. We also discuss challenges and research directions in areas like scalable, real-time and secure analytics over big data. This paper serves as a valuable reference on the end-to-end process of extracting insights from big data.

Author Biography

Mohd Amirul Bin Hassan, Department of Information Technolog, Universiti Malaysia Kelantan (UMK)

 

 

 

Current Issue

Information

Submission Guidelines for the Journal of Computational Social Dynamics General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the APA/IEEE styles.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

Peer Review Process:

All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

Submission Process:
  1. Prepare your manuscript according to the guidelines.
  2. Submit your manuscript through our online portal at.
  3. After submission, you will receive a confirmation email with a manuscript ID for tracking purposes.
Revisions:

If revisions are requested, authors must resubmit the revised manuscript within the specified timeframe.

Publication Fees:

The journal has a nominal publication fee, waived for authors who lack funding. Details are available on our website.

For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering the Journal of Computational Social Dynamics as a venue for your research.

Published by Vectoral Publishing, the Journal of Computational Social Dynamics maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/jcsd. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.