Implementation of a Data-Driven Hospitality Lexis Learning Programme

Enhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining

This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...

Concordance-Based Data-Driven Learning Activities and Learning English Phrasal Verbs in EFL Classrooms

In spite of the highly beneficial applications of corpus linguistics in language pedagogy, it has not found its way into mainstream EFL. The major reasons seem to be the teachers’ lack of training and the unavailability of resources, especially computers in language classes. Phrasal verbs have been shown to be a problematic area of learning English as a foreign language due to their semantic op...

Hospitality Management : Learning , Doing , Knowing

A system design framework-driven implementation of a learning collaboratory

This paper describes a design process to support the development of a learning collaboratory, a distributed, computer-based, virtual space for learning and work. A learning collaboratory: as a distributed distance learning environment, offers tremendous opportunities to expand the way people teach and learn and to broaden educational opportunities to an ever increasing range of learners. The ch...

Data-Driven Implementation of Efficient Protocol Handlers

This paper discusses and clarifies effectiveness of data-driven implementation of protocol handling system in multimedia networking environment. This paper first describes the cases where various types of multi-processing capabilities are required in the multimedia networking environment. Among them, it focuses on protocol handling that typically requires realtime multi-processing. This paper t...