Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …

Metabolomics comprises the methods and techniques that are used to measure the small
molecule composition of biofluids and tissues, and is actually one of the most rapidly …

The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …

The presence of various forms of heavy metals (HMs)(eg, Cu, Cd, Pb, Zn, Cr, Ni, As, Co, Hg,
Fe, Mn, Sb, and Ce) in water bodies and sediment has been increasing due to industrial and …

The self-organizing map (SOM) is an automatic data-analysis method. It is widely applied to
clustering problems and data exploration in industry, finance, natural sciences, and …

This book is concerned with the concept, the theories, and the implementations of text
mining. In Part I, we provide the fundamental knowledge about the text mining tasks, such as …

Since its introduction in the human population, SARS-CoV-2 has evolved into multiple
clades, but the events in its intrahost diversification are not well understood. Here, we …

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 …

The self-organized map, an architecture suggested for artificial neural networks, is explained
by presenting simulation experiments and practical applications. The self-organizing map …

During the past decade there has been an explosion in computation and information
technology. With it have come vast amounts of data in a variety of fields such as medicine …