Despite the rapid development, the field of data mining and knowledge discovery (DMKD) is
still vaguely defined and lack of integrated descriptions. This situation causes difficulties in …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

This work presents a new perspective on characterizing the similarity between elements of a
database or, more generally, nodes of a weighted and undirected graph. It is based on a …

Landslide susceptibility map** is one of the crucial stages of landslide hazard and risk
assessment. Moreover, the susceptibility maps assist planners, local administrations, and …

Although there are many advanced and specialized texts and handbooks on algorithms,
until now there was no book that focused exclusively on the wide variety of data structures …

The processing of complex data is admittedly among the major concerns of knowledge
discovery from data (kdd). Indeed, a major part of the data worth analyzing is stored in …

Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns
which cannot be obtained solely from any single source. For example, in cross-market …

Process discovery is the automated construction of structured process models from
information system event logs. Such event logs often contain positive examples only …

This paper presents a survey as well as an empirical comparison and evaluation of seven
kernels on graphs and two related similarity matrices, that we globally refer to as “kernels on …

In recent decades, the bioinformatics, biology and biotechnology plays a major role in
accumulation of numerous biomedical data, which offers an in-depth analysis. On other …