The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and
Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data …

This valuable text addresses different pattern recognition (PR) tasks in a unified framework
with both theoretical and experimental results. Tasks covered include data condensation …

In this paper we propose DCP, a new algorithm for solving the Frequent Set Counting
problem, which enhances Apriori. Our goal was to optimize the initial iterations of Apriori, ie …

Refuting the notion of technology as a replacement of knowledge, this paper focuses on a
gap between them that needs to be bridged. The idea is that technology represents the …

Methods for knowledge discovery in data bases (KDD) have been studied for more than a
decade. New methods are required owing to the size and complexity of data collections in …

With the accumulation of data at an unprecedented rate, its potential to fuel scientific
discovery is growing exponentially. This position paper urges the Machine Learning (ML) …

With the accumulation of data at an unprecedented rate, its potential to fuel scientific
discovery is growing exponentially. This position paper urges the Machine Learning (ML) …

This paper details the research agenda of the International Cartographic Association
Commission on Visualization: Working Group on Database-Visualization Links. The paper …

The performance of an algorithm that mines frequent sets from transactional databases may
severely depend on the specific features of the data being analyzed. Moreover, some …

This article proposes a novel approach to automating the settings of visualization parameter
values for volume data mining. To this end, we extended the conventional Reeb graph …