International Journal of Data Science and Analysis

Volume 5, Issue 4, August 2019

  • A Novel Method to Associate Sensor Data with Domain Ontology

    Jin Liu, Yihe Yang, Shengjie Shang

    Issue: Volume 5, Issue 4, August 2019
    Pages: 52-60
    Received: 6 July 2019
    Accepted: 26 July 2019
    Published: 16 August 2019
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    Abstract: With the development of the Internet of Things, sensor ontologies have been applied to a variety of fields. Most sensor ontologies are currently built for applications in specific domains, and these ontologies are usually heterogeneous, making it difficult to share or reuse knowledge and concepts. The ontology association methods can be used to con... Show More
  • Student’s Academic Performance Prediction Using Factor Analysis Based Neural Network

    Shamsuddeen Suleiman, Ahmad Lawal, Umar Usman, Shehu Usman Gulumbe, Aminu Bui Muhammad

    Issue: Volume 5, Issue 4, August 2019
    Pages: 61-66
    Received: 6 July 2019
    Accepted: 26 July 2019
    Published: 26 August 2019
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    Abstract: This study focused on the statistical technique using the neural network, hybrid models and factor analysis on constructing the new factors affecting students learning styles of the survey done among university students in predicting academic performance. The data were collected using survey questionnaires and students’ academic records. The method... Show More
  • Predictive Modeling of the Brand Equity: Analysis Based on Multiple Logistic Regression and Backward Stepwise Model Selection Methods

    Gehan Shanmuganathan Dhameeth

    Issue: Volume 5, Issue 4, August 2019
    Pages: 67-72
    Received: 31 July 2019
    Accepted: 26 August 2019
    Published: 10 September 2019
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    Abstract: Brands play a significant role at the point of consumer purchases decisions. Brand managers make all the efforts to induce consumers to purchase their brands and increase eventual brand associations for long-term profits. This paper focuses on how different generations, especially the Millennial and the Baby boomers, behave towards brands based on ... Show More