Surface-enhanced Raman scattering (SERS) is a powerful spectroscopy technique that can
provide non-destructive and ultra-sensitive characterization down to single molecular level, …

This paper presents the top 10 data mining algorithms identified by the IEEE International
Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, …

Most existing model-based approaches to anomaly detection construct a profile of normal
instances, then identify instances that do not conform to the normal profile as anomalies. This …

An up-to-date, self-contained introduction to a state-of-the-art machine learning approach,
Ensemble Methods: Foundations and Algorithms shows how these accurate methods are …

Multi-label learning originated from the investigation of text categorization problem, where
each document may belong to several predefined topics simultaneously. In multi-label …

The shapes of noble metal nanocrystals (NCs) are usually defined by polyhedra that are
enclosed by {111} and {100} facets, such as cubes, tetrahedra, and octahedra. Platinum NCs of …

Multi-label learning studies the problem where each example is represented by a single
instance while associated with a set of labels simultaneously. During the past decade, …

Undersampling is a popular method in dealing with class-imbalance problems, which uses
only a subset of the majority class and thus is very efficient. The main deficiency is that many …

Neural network ensemble is a learning paradigm where many neural networks are jointly
used to solve a problem. In this paper, the relationship between the ensemble and its …

Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field
ever further and making it one of the most compelling areas of computer science research. …