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The ability to forecast job advertisement demands is vital to enhance the customer retention rate for recruitment companies. On top of that, it is uneconomical to cold call every individual on a regular basis for companies with a large pool of customers. This paper presents a novel approach in predicting the re-ordering demand of a potential group of SMEs customers in a large online recruitment company. Two feature selection techniques, namely Correlation-based Feature Selection (CFS) and Subset Consistency (SC) Feature Selection, were applied to predictive models in this study. The predictive models were compared with other similar models in the absence of feature selections. Results of various experiments show that those models using feature selections generally outperform those without feature selections. The results support the authors’ hypothesis that the predictive model can perform better and further ahead than similar methods that exclude feature selection.

This paper considers an agent-based approach to organizational modeling within the engineering design domain. It is widely recognized that interactions between individual designers, between (and within) integrated product teams (IPTs), together with the nature of design tasks have a significant impact upon how well a task can be performed, and hence the quality of the resultant product. In order for organizations to gain a full understanding of design team interactions within IPTs, we propose the use of multi-agent systems to model the behaviors and cognitions of team members, and to explore the applicability of different agent-theoretic approaches that could augment current team practices. In this paper we discuss the background to the work and the identifications of individual, and team variables. The paper concludes by discussing the computational model of a small IPT, which has been implemented using JADE, and the initial results are presented.

A methodology for e-learning systems engineering is offered for use in the development of e-learning materials. The methodology draws upon the practices of software engineering to identify the key stages and steps required for the development of effective e-learning materials.