The paper presents a new method of decision tree induction based on formal concept analysis (FCA). The decision tree is derived using a concept lattice, i.e. a hierarchy of clusters provided by FCA. The idea behind is to look at a concept lattice as a collection of overlapping trees. The main purpose of the paper is to explore the possibility of using FCA in the problem of decision tree inducti...

Computationally intensive segmentation algorithms often operate on an image pre-segmented into small regions referred to as “superpixels”. We investigate the effect of the choice of the pre-segmentation algorithm and its parameters on the outcome of the final segmentation. Three pre-segmentation algorithms are compared. To avoid the particularities of sophisticated segmentation algorithms, the ...

Verbs can only be used with a few specific arrangements of their arguments (syntactic frames). Most theorists note that verbs can be organized into a hierarchy of verb classes based on the frames they admit. Here we show that such a hierarchy is objectively well-supported by the patterns of verbs and frames in English, since a systematic hierarchical clustering algorithm converges on the same s...

This work focuses on clustering a site into groups of documents that are predictive of future user accesses. Two approaches have been developed and tested. The first approach uses semantic information inherent in the documents to facilitate the clustering process. User access history is then used to reorganize the clusters iteratively so as to better indicate access patterns. This method was fo...

We present experiments aiming at an automatic classification of Spanish verbs into lexical semantic classes. We apply well-known techniques that have been developed for the English language to Spanish, proving that empirical methods can be re-used through languages without substantial changes in the methodology. Our results on subcategorisation acquisition compare favourably to the state of the...

Computer-Aided Design and Applications is an international journal on the applications of CAD CAM. It publishes papers in general domain plus emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, data mining, internet, education, genetic algorithms engines. The aimed at all developers users technology to ptovide solutions for various stages design manufacturing. about technol...

Clustering has been widely used to partition data into groups so that the degree of association is high among members of the same group and low among members of diierent groups. Though many eeective and eecient clustering algorithms have been developed and deployed, most of them still suuer from the lack of automatic or online decision for optimal number of clusters. In this paper, we deene clu...

In this paper, we describe our approach and its results for MediaEval 2014 Retrieving Diverse Social Images Task. The basic idea of our proposed method is to filter out non-relevant images at the beginning of the process and then construct a hierarchical tree which allows to cluster the images with different criteria on visual and textual features. Experimental results shown that it is stable a...