The enormous amount of information stored in unstructured texts cannot simply be used for
further processing by computers, which typically handle text as simple sequences of …

Abstract Web Data Extraction is an important problem that has been studied by means of
different scientific tools and in a broad range of applications. Many approaches to extracting …

In this study we combined selected vegetation indices (VIs) and plant height information to
estimate biomass in a summer barley experiment. The VIs were calculated from ground …

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 …

There are methods of mineral prospectivity map** whereby, besides assignment of
weights to classes of evidence in an evidential map, every evidential map is also given a …

Often considered more as an art than a science, the field of clustering has been dominated
by learning through examples and by techniques chosen almost through trial-and-error …

Data Mining algorithms look for patterns in data. While most existing Data Mining
approaches look for patterns in a single data table, relational Data Mining (RDM) …

Logistic regression (LR) continues to be one of the most widely used methods in data mining
in general and binary data classification in particular. This paper is focused on providing an …

Complexities of geological processes portrayed as certain feature in a map (eg, faults) are
natural sources of uncertainties in decision-making for exploration of mineral deposits …

Giving loans and issuing credit cards are two of the main concerns of banks in that they
include the risks of non-payment. According to the Basel 2 guidelines, banks need to …