This paper introduces three new text classification methods: Clustering-Based Generalised Instances Set (CB-GIS), Multilevel Clustering-Based Generalised Instances Set (MLC_GIS) and Multilevel Clustering-Based, k Nearest Neighbours (MLC-kNN). These new methods aim to unify the strengths and...

In this paper, an integrated performance measurement model is developed, considering both productivity and quality dimensions together in one platform. The ranking of the units for the identified quality dimensions is found by the application of analytic hierarchy process (AHP). By using the...

Genome data mining and knowledge extraction is an important problem in bioinformatics. Some research work has been done for genome identification based on exact matching of n-grams. However, in most real world biological problems, it may not be feasible to have an exact match, so approximate...

Assessing the economic role of culture and interpreting it in connection with regional and urban development are becoming important. This paper aims to reflect on the possible means of quantification regarding the attributes of culture. Given that the authors are compelled to restrict the scope...

The aim of this study is to assign weights w1, …, wm to m clustering variables Z1, …, Zm, so that k groups were uncovered to reveal more meaningful within-group coherence. We propose a new criterion to be minimized, which is the sum of the weighted within-cluster sums of squares and the...

Social network types have been proved to have significant impacts on older population's health outcomes. However, the existing discoveries are still inconsistent, which may be attributed largely to the heterogeneous measures and methods scholars used and to the unidirectional causalities...