This paper presents a novel method for surface recovery from discrete 3D point data sets. In order to produce improved reconstruction results, the algorithm presented in this paper...
Abstract. This paper describes the use of a concept hierarchy for improving the results of association rule mining. Given a large set of tuples with demographic information and per...
Xiaoming Chen, Xuan Zhou, Richard B. Scherl, James...
Abstract. To make effective use of distributed information, it is desirable to allow coordination and collaboration among various information sources. This paper deals with cluster...
This paper introduces a set of algorithmic modifications that improve the partitioning results obtained with ant-based clustering. Moreover, general parameter settings and a self-...
Nowadays, direct volume rendering via 3D textures has positioned itself as an efficient tool for the display and visual analysis of volumetric scalar fields. It is commonly acce...
Numerical particle simulations and astronomical observations create huge data sets containing uncorrelated 3D points of varying size. These data sets cannot be visualized interact...
An increasing number of tasks require people to explore, navigate and search extremely complex data sets visualized as graphs. Examples include electrical and telecommunication ne...
Nelson Wong, M. Sheelagh T. Carpendale, Saul Green...
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Abstract— This paper describes the generation of fuzzy signatures to detect some cyber attacks. This approach is an enhancement to our previous work, which was based on the princ...