Abstract: In this demonstration we introduce a technology to support knowledge structuring processes already at the time of their creation by building up concept structures in real...
One of the most important operations involving Data Mining patterns is computing their similarity. In this paper we present a general framework for comparing both simple and comple...
Ilaria Bartolini, Paolo Ciaccia, Irene Ntoutsi, Ma...
The next wave in search technology will be driven by the identification, extraction, and exploitation of real-world entities represented in unstructured textual sources. Search sy...
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Abstract. To represent and manage data mining patterns, several aspects have to be taken into account: (i) patterns are heterogeneous in nature; (ii) patterns can be extracted from...
Barbara Catania, Anna Maddalena, Maurizio Mazza, E...
CommonGIS is a system comprising a number of tools for visual data analysis. In this paper we demonstrate our recent developments for analysis of spatial time series data.
Gennady L. Andrienko, Natalia V. Andrienko, Peter ...
The more sophisticated fuzzy clustering algorithms, like the Gustafson–Kessel algorithm [11] and the fuzzy maximum likelihood estimation (FMLE) algorithm [10] offer the possibil...
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certai...