The rapidly growing use of technology in education is changing the way in which knowledge is produced, stored and distributed. Online education has already been accepted as the way of the future; knowledge may be distributed across both time and space. Knowledge Management (KM) techniques can be used to capture, organise and deliver this knowledge and management systems can be used to quickly identify the most relevant information and distribute it to meet specific needs. In this paper, light is shed on the basic concepts of KM and e-learning. A discussion on how KM and e-learning can be integrated and leveraged for effective online education and training is presented.

Fraudsters can manipulate telecom regulatory systems to their advantage, and to the disadvantage of the telecom operator, in ways that are difficult to detect, trace, and prosecute. A subscriber whose network has been compromised will often refuse to pay large fraudulent charges, leaving the operator to cover the bill resulting in revenue losses. Moreover, attacks frequently happen over holidays and weekends, when networks are often less monitored closely. This calls for an intelligent automated solution for telecom fraud detection. Wangiri (Japanese term) telecom fraud also referred to as “one ring and cut fraud” relies on this single ring method for a quick way to make money. Missed calls from unknown callers entice subscribers to call back unknowingly premium numbers where they are deceived to stay on the line for as long as possible in an effort to inflate their bill. This paper proposes the use of varied ensemble classifiers to overcome the highly biased dataset and help make a more precise classification in an efficient and effective manner. Extreme Gradient Boosting algorithm was found to have the best results in terms of correctness and performance.

Electronic learning (e-learning) is seen as a good solution for organisations that deal with fast-changing knowledge and for reducing the cost of training. E-learning is a good opportunity for companies but it needs to be well prepared because it often takes high investment costs. That is why it is important for a company to know if it is e-ready. E-readiness is already well covered in the literature and several models are suggested. We used these models to develop an e-learning readiness measurement instrument and questionnaire. We used our instrument to check whether the Flemish hospitals were e-ready for e-learning.

A new approach for searching and selecting user-relevant MOOCs courses fitting the level of students' education and based on the semantic representation of the user's knowledge of the subject area is presented. This approach supports the search for relevant knowledge by the students during the active learning process of the course. The effectivity of the present ontology based technique is based on the fact that it is aimed on users with different levels of knowledge that can be represented as ontologies and thesauri.