Representing temporal data in conceptual data models and ontologies is required by various application domains. For it to be useful for modellers to represent the information precisely and reason over it, it is essential to have a language that is expressive enough to capture the required operational semantics of the time-varying information. Temporal modelling languages have little support for...

Attributes of information systems quality described in standard ISO/IEC25010 (2010) are analyzed. Some of them are contradictory, dependent and competing. One of the most competing characteristics are usability and security (U&S). The article considers two main aspects of U&S interaction called “usable security” and “secure usability”. The technique of qualitative assessment of the U&S interact...

A broad of spectrum of disciplines have adopted social network data to examine relevant contextual issues in a wide array of fields. Yet, statistical methods to address biases in statistical inference introduced by the between-subjects relationship within the context of node, or subject, interaction in social networks are underdeveloped. Traditional statistical models define relationships among...

Graphical models provide a compact approach to analysing and modeling the interaction between attributes. By exploiting marginal and conditional independence relations, high-dimensional distributions are factorized into a set of distributions over lower dimensional subdomains, allowing for a compact representation and efficient reasoning. In this paper, we motivate the choice of linguistic para...

In virtual communities (e.g., forums, blogs), modeling the trust of community members is an effective way to help members make decisions about whose information is more valuable. Towards this goal, we first formulate hypotheses on how various interaction attributes influence trust in virtual communities, and validate these hypotheses through experiments on real data. The influential attributes ...

We propose an integrated model to jointly model user arguments, interactions and attributes for the task of stance prediction. The graphical representation of the model can be found in Figure 1. The model is composed of four parts: i.) user profiling, which considers a regression-based latent factorization method to incorporate user attributes for profiling users; ii.) user stance, which contai...

Psycholinguistic studies often look at the production of referring expressions in interactive settings, but so far few referring expression generation algorithms have been developed that are sensitive to earlier references in an interaction. Rather, such algorithms tend to rely on domain-dependent preferences for both content selection and linguistic realization. We present three experiments sh...

Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of ‘emergent’ patterns and trends in the linkage. It complements conventional data mining methods, which assume the independence between the attributes and the independence between the values of these attributes. These techniques typically flag, alert ...

this study was conducted for evaluating the combined effect of soil moisture, phosphorus (p) and zinc (zn) levels on the growth attributes of potato (solanum tuberosum l. cv. agria). this investigation was arranged as a factorial experiment based on randomized complete blocks design with zn at three levels (0, 10 and 20mg zn per kg dry soil as zinc sulfate), p at three levels (0, 30 and 60mg pe...

Robust and scalable techniques for mining patterns or subgraphs in protein protein interaction (PPI) networks can help identify functionally relevant and coherent subnetworks. Recently, researchers have focused on integrating genes attributes with the protein-protein interaction networks for mining connected subnetworks whose genes are similar in a subset of attributes. However, most of the pro...