Forthcoming and Online First Articles

International Journal of Knowledge Engineering and Data Mining

International Journal of Knowledge Engineering and Data Mining (IJKEDM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Knowledge Engineering and Data Mining (3 papers in press)

Regular Issues

  • Study on the Electric Vehicle Sales Forecast with TEI@I Methodology   Order a copy of this article
    by Jiang Ping Wan, Le Qi Xie, Xue Fang Hu 
    Abstract: The research was decomposition and integration based on TEI@I methodology: the prediction model applied principal component regression analysis (PCR) to deal the linear relationship, and then applied BP neural network and support vector machine (SVM) to deal the nonlinear relationship, and finally, they are all integrated together. Granger causality test and grey correlation degree are used to quantitatively analyze the factors affecting the sales of electric vehicles through mining consumer network data, The research results of electric vehicle models show that the Baidu search index lags behind for three months is time-sensitive to the sales of electric vehicles. Finally, taking the data of two car models as examples, it is found that the PCR-BP model and the PCR-SVM model have better prediction performance than the single model.
    Keywords: electric vehicle sales forecast; CiteSpace; TEI@I methodology; principal component regression analysis; BP neural network; support vector machine; Baidu search index.
    DOI: 10.1504/IJKEDM.2020.10030715
     
  • Improving E-Health Governance through Syndromic Surveillance Systems and Data Mining in KSA   Order a copy of this article
    by Ghada Al Omran 
    Abstract: Recently, the KSA has witnessed significant technical advances in health sector, where local hospitals are using high-quality systems and technologies to serve patients. However, even with this high progress in healthcare systems, the communication is still limited with other decision makers in different sectors whose need to access some health-related information to take the best decisions for serving patients. Therefore, this project aims to utilise from the concept of electronic health governance (e-health governance) to build an automated system, which will help the health sector to know common coming diseases and facilitate the decision-making process through providing them with the necessary health information to help them provide the best service for patients in various fields. To do that this research will apply classification data mining techniques through using naive Bayes classification algorithm; where this project aims to build a common diseases prediction system (CDPS) to working as syndromic surveillance system.
    Keywords: data mining; electronic governance; syndromic surveillance system; SSS; naive Bayesian; common disease prediction system.
    DOI: 10.1504/IJKEDM.2020.10035583
     
  • The impacts of Knowledge Management on Organizational Entrepreneurship with the Moderating Role of Social Capital in the Melli Bank (Mashhad Branches)   Order a copy of this article
    by Bahare Khayyami, Amirali Motamedi, Elham Shadkam 
    Abstract: The main goal of this research is the relationship between knowledge management and entrepreneurship with the role of social capital adjustment in Melli banks’ employees. The sample was analysed using Cochran table and two-stage cluster sampling that 117 employees of the Mashhad’s Melli’s bank. In this research, four standard questionnaires are used to measure the variables under study. The results of this study showed: there is a relationship between knowledge management and organisational entrepreneurship and the social capital has a moderating effect on knowledge management and entrepreneurship.
    Keywords: knowledge management; social capital; enterprise entrepreneurship; Melli Bank; laser.
    DOI: 10.1504/IJKEDM.2020.10037411