With the development of modern electronic and computer technologies, sports training and competition became more and more technical. A great deal of data were recorded, including ...
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
The lack of standards for Romanization of Thai proper names makes searching activity a challenging task. This is particularly important when searching for people-related documents ...
Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard ...
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
One important problem proposed recently in the field of web mining is website classification problem. The complexity together with the necessity to have accurate and fast algorit...
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...