Modeling epidemics on adaptively evolving networks: A data-mining perspective

Modeling epidemics on adaptively evolving networks: A data-mining perspective.

The exploration of epidemic dynamics on dynamically evolving ("adaptive") networks poses nontrivial challenges to the modeler, such as the determination of a small number of informative statistics of the detailed network state (that is, a few "good observables") that usefully summarize the overall (macroscopic, systems-level) behavior. Obtaining reduced, small size accurate models in terms of t...

A Perspective on Data Mining

A statistical perspective on data mining

Data mining can be regarded as a collection of methods for drawing inferences from data. The aims of data mining, and some of its methods, overlap with those of classical statistics. However, there are some philosophical and methodological di erences. We examine these di erences, and we describe three approaches to machine learning that have developed largely independently: classical statistics...

A Perspective on Databases and Data Mining

We discuss the use of database met hods for data mining. Recently impressive results have been achieved for some data mining problems using highly specialized and clever data structures. We study how well one can manage by using general purpose database management systems. We illustrate our ideas by investigating the use of a dbms for a well-researched area: the discovery of association rules. ...

A relational perspective on spatial data mining

Remote sensing and mobile devices nowadays collect a huge amount of spatial data, which have to be analysed in order to discover interesting information about economic, social and scientific problems. However, the presence of a spatial dimension adds some problems to data mining tasks. The geometrical representation and relative positioning of spatial objects implicitly define spatial relations...