Forthcoming articles

International Journal of Adaptive and Innovative Systems

International Journal of Adaptive and Innovative Systems (IJAIS)

These 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 Articles will not be published until the final proofs are validated by their authors.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 Adaptive and Innovative Systems (2 papers in press)

Regular Issues

  • Adaptive Spam Filtering System Using Complement Na   Order a copy of this article
    by Michael Adegoke, Olayide Abass 
    Abstract: Na
    Keywords: Spam; Spam filtering; complement naïve bayes; adaptive filtering; prior; bias; adaptive; skewedness;filter.

  • Predicting the Net Asset Value of Mutual Fund: An Extended Literature Review   Order a copy of this article
    by Shikha Singla, Gaurav Gupta 
    Abstract: : Mutual funds have emerged as the most dynamic segment of the Indian financial system. With its potential to provide higher return by investment in diversified securities, mutual funds emerge as one of the most promising investments in uncertain markets. With a variety of mutual funds competing in the present scenario market, it becomes a challenging decision for the investor to balance risk and return trade off on the portfolio to maximize returns. Therefore, the important aspect for portfolio manager is to predict the Net Asset value (NAV) of mutual funds. Various methods and techniques in the field of economics and computer science have been used in the quest to gain insights into NAV prediction. The aim of the paper is to provide an extended literature review of different techniques in different areas of computer science in order to explore the future possibilities. This paper explores the past research work and proposes the future road-map to predict the NAV of mutual funds by using different techniques with greater accuracy.
    Keywords: Net Asset Value (NAV); Radial Basis Function (RBF); Functional Link Artificial Neural Network (FLANN); Mutual Fund.