International Journal of Data Science and Analysis

Volume 8, Issue 2, April 2022

  • Modeling the Impact of Climate Factors on COVID-19 Transmission in Nigeria

    Audu Musa Mabu, Babagana Modu, Babagana Ibrahim Bukar, Musa Ibrahim Dagona

    Issue: Volume 8, Issue 2, April 2022
    Pages: 23-29
    Received: 22 January 2022
    Accepted: 4 March 2022
    Published: 15 March 2022
    Downloads:
    Views:
    Abstract: Due to spatial and temporal changes in climate, the incidences of COVID-19 is much more higher in some parts of America, Europe and Asia by comparing with Saharan and sub-Saharan Africa. Several studies show the link between climate factors (e.g., temperature rainfall and humidity) and COVID-19 occurrence will be used to aid intervention planning, ... Show More
  • An Application of Multi-label Linear Discriminant Analysis and Binary Relevance K-Nearest Neighbor in Multi-label Classification of Annotated Images

    Festus Malombe Mwinzi, Thomas Mageto, Victor Muthama

    Issue: Volume 8, Issue 2, April 2022
    Pages: 30-37
    Received: 4 March 2022
    Accepted: 24 March 2022
    Published: 31 March 2022
    Downloads:
    Views:
    Abstract: Although Binary Relevance (BR) is an adaptive and conceptually simple multi-label learning technique, its inability to exploit label dependencies and other inherent problems in multi-label examples makes it difficult to generalize well in the classification of real-world multi-label examples like annotated images. Thus, to strengthen the generaliza... Show More
  • Deep Convolution Neural Network with Dropout in Modeling Exchange Rate Volatility

    Samuel Wanjiru, Anthony Waititu, Anthony Wanjoya

    Issue: Volume 8, Issue 2, April 2022
    Pages: 38-46
    Received: 5 March 2022
    Accepted: 24 March 2022
    Published: 31 March 2022
    Downloads:
    Views:
    Abstract: Exchange rate data possesses time-series features such as a trend. Based on a convolutional neural network (CNN) deep learning algorithm, which has the advantages of detecting patterns, extracting effective features, finding interdependence of time series data, and its computational efficiency, this paper proposes a convolutional neural network wit... Show More
  • A Hybrid Classification Model of Artificial Neural Network and Non Linear Kernel Support Vector Machine

    Lena Anyango Onyango, Anthony Gichuhi Waititu, Thomas Mageto, Mutua Kilai

    Issue: Volume 8, Issue 2, April 2022
    Pages: 47-58
    Received: 8 March 2022
    Accepted: 28 March 2022
    Published: 22 April 2022
    Downloads:
    Views:
    Abstract: Machine Learning Algorithms are employed in characterization, pattern recognition, and prediction. A hybrid model helps in reducing the computational complexity, improves accuracy, and results in an effective method for classification. The misclassification of the individual classifier is often excluded in a hybrid classifier. The objective of this... Show More
  • Prediction of Levels of Happiness Using Multinomial Logit as a Neural Network: Evidence in Kenyan Youths

    Martin Kinyua Ngari, Anthony Kibera Wanjoya, John Mwaniki Kihoro

    Issue: Volume 8, Issue 2, April 2022
    Pages: 59-71
    Received: 22 March 2022
    Accepted: 9 April 2022
    Published: 26 April 2022
    Downloads:
    Views:
    Abstract: Happiness has become a major concern across many disciplines starting form public policy, economics and psychology because of the effects that come with not being happy. Psychologist would want to know the effects of low levels of happiness, economist would want to know the effects of levels of happiness in to the market place, researchers from hea... Show More