Existing representative research achievement of attribute reduction mainly focused on two aspects. One is how to improve the efficiency of attribute reduction algorithms for all attributes including the added properties. Such as the recursive algorithm to change conjunctive normal form into disjunctive normal form based on the Boolean matrix and algorithm based on radix sorting for computing co...

The dimensionality reduction of spectral images for visualization has been a quite active area of research recently. Given the variety of existing approaches, it can be very challenging to understand the actual advantages of one over another, especially in the absence of a very specific application. Moreover, there is no consensus on how to evaluate the general efficiency of such a method. In t...

In instance-based learning, a training set is given to a classifier for classifying new instances. In practice, not all information in the training set is useful for classifiers. Therefore, it is convenient to discard irrelevant instances from the training set. This process is known as instance reduction, which is an important task for classifiers since through this process the time for classif...

Design Based Research (DBR) is a new and still-emerging approach to research about design, learning, and allied areas. This article reports one designer’s experiences within a DBR project. Whereas most reports of DBR focus on the outcomes of the design itself, the current paper offers a hermeneutical perspective by focusing on the personal narrative of the designer. Using Edelson’s (2002) categ...