Intrusion detection systems are important for detecting and reacting to the presence of
unauthorised users of a network or system. They observe the actions of the system and its …

Plagiarism can be of many different natures, ranging from copying texts to adopting ideas,
without giving credit to its originator. This paper presents a new taxonomy of plagiarism that …

This book provides a perspective on the application of machine learning-based methods in
knowledge discovery from natural languages texts. By analysing various data sets …

This paper proposed an artificial bee colony optimization (ABC) algorithm based
despeckling framework to overcome the effect of speckle noise present in real ultrasound …

Plagiarism detection is of special interest to educational institutions, and with the
proliferation of digital documents on the Web the use of computational systems for such a …

Users interact with social media in a number of ways, providing a variety of data, from ratings
and approvals to quantities of text. Public discussion for hotspots in particular generates …

The proposed work aims to explore and compare the potency of syntactic-semantic based
linguistic structures in plagiarism detection using natural language processing techniques …

Astroturfing is appearing in numerous contexts in social media, with individuals posting
product reviews or political commentary under a number of different names, and is of …

Text re-use describes the spoken and written repetition of information. Historical text re-use,
with its longer time span, embraces a larger set of morphological, linguistic, syntactic …

Plagiarism, the unacknowledged reuse of text, has increased in recent years due to the
large amount of texts readily available. For instance, recent studies claim that nowadays a …