Agriculture remains a vital sector for most countries. It presents the main source of food for
the population of the world. However, it faces a big challenge: producing more and better …

Featured Application This review will offer a global overview of the chemometric approaches
most commonly used in the field of spectroscopy-based food analysis and authentication …

Among many clustering algorithms, the K-means clustering algorithm is widely used
because of its simple algorithm and fast convergence. However, the K-value of clustering …

Abstract Massive Online Analysis (MOA) is a software environment for implementing
algorithms and running experiments for online learning from evolving data streams. MOA is …

Decision trees have become one of the most powerful and popular approaches in
knowledge discovery and data mining; it is the science of exploring large and complex …

Using formal descriptions, graphical illustrations, practical examples, and R software tools,
Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet …

This chapter attempts a concise introduction to data mining and knowledge discovery. First,
we introduce the necessary nomenclature and definitions, discuss the background of the …

Nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH) are
common in children and adolescents. However, standard histological criteria for pediatric …

Text clustering methods can be used to structure large sets of text or hypertext documents.
The well-known methods of text clustering, however, do not really address the special …

1. Introduction to pattern classification. 1.1. Pattern classification. 1.2. Induction algorithms.
1.3. Rule induction. 1.4. Decision trees. 1.5. Bayesian methods. 1.6. Other induction …