Forthcoming articles

International Journal of Knowledge Engineering and Soft Data Paradigms

International Journal of Knowledge Engineering and Soft Data Paradigms (IJKESDP)

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 Articles will not be published until the final proofs are validated by their authors.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 Knowledge Engineering and Soft Data Paradigms (2 papers in press)

Regular Issues

  • Sentiment Classifier Using Unlabeled Data with Emoticon Classification   Order a copy of this article
    by Surya Kumari Sampangi, Anjan Babu G 
    Abstract: Sentiment analysis is the part of opinion mining used to discover the variations of user mood. Generally sentiment analysis deals with feature extraction and sentiment classification, most of the analysis is done by using text mining, mostly training classifiers on labelled data. Emoticon reactions become a major means of communication in social media, where they express the emotions and provide non-verbal communication. This paper propose a classifier making use of emoticons and unsupervised learning, namely K-means clustering, to provide sentiment analysis in an automated matter. The proposed method is trained using data with emoticon signals collected from Facebook and evaluated on 6 different sentiment analysis data sets. Accuracy and ARI metrics are used for evaluation and findings are positive: The classifier outperforms K-means clustering and Sentistrenght2 algorithm in accuracy and training time is correlated to emoticons instead of text features, which is an order less.
    Keywords: SECA- Sentiment Emoticon Clustering Algorithm;\r\nARI- Adjusted Rand Index; \r\nTokenization;\r\nLemmatization;\r\nTF-IDF.

  • A survey on distributed mobile agents' system security   Order a copy of this article
    by Yousra Berguig, Jalal Laassiri, Salahddine Krit 
    Abstract: A multi-agent system (MAS) is a system in which there is a cooperation of autonomous entities called "agents, with intelligent behavior, and have the power to coordinate their goals and action plans to solve a problem or achieve an objective. They are widely applied in telecommunications and e-commerce. In this paper we investigate the security of the distributed mobile agents system. We also discuss the problem of availability of a mobile agent while exposing an overview about the DDoS which is the major attack that threatens the availability in a system. Furthermore, we establish a method to guarantee the confidentiality and secure mobility of a mobile agent during its migration in a distributed system by combining the principle of serialization and cryptography.
    Keywords: Mobile Agents; Security; Jade; Cryptography; Serialization; Network Security Protocol; Security Mechanisms; DDoS attack; Distributed systems; Communication security; Mobility.