This paper introduces a new approach to fitting a linear regression model to symbolic
interval data. Each example of the learning set is described by a feature vector, for which …

In this paper, we propose a new method of representing on-line signatures by interval
valued symbolic features. Global features of on-line signatures are used to form an interval …

Clustering categorical data is an integral part of data mining and has attracted much
attention recently. In this paper, we present k-ANMI, a new efficient algorithm for clustering …

In this study, the concepts of competitive agglomeration clustering algorithm is incorporated
into fuzzy c-means (FCM) clustering algorithm for symbolic interval-values data. In the …

Interval data allow statistical units to be described by means of interval values, whereas their
representation by single values appears to be too reductive or inconsistent, that is, unable to …

Fault-tolerant routing in existing P2P technologies is still not ideally solved. A new P2P
routing algorithm FT-p2p is proposed, which is mainly used to optimize the fault-tolerant …

O processo de descoberta de conhecimento tem por objetivo a extração de informações
úteis (conhecimento) em bases de dados. As ferramentas utilizadas para execução do …