The periodic table of elements is an atomic organisation based on two axis. The horizontal axis establishes an increasing order based on the atomic number (number of protons) of each element. The vertical arrangement is managed by the electronic configuration and presents a taxonomic structure designed by the electrons of their latest layer . Furthermore, four main blocks arrange the atoms by similar properties (gases, metals, nonmetals, metalloids). Additionally to the number of protons and the electronic configuration, the atoms are characterised by other attributes that are not ascendant nor cyclic in the periodic table of elements. The values of these properties constitute a sample of numbers that represent different atomic magnitudes that distinguish in some how the chemical elements. In this experiment some of these chemical and physical dimensions have been involved in the training of a set of machine learning algorithms to obtain representative clusters of each element.
Data mining refers to discovery and extraction of patterns and knowledge from large data sets of structured and unstructured data. Data mining techniques have been around for many decades, however, recent advances in ML (Machine Learning), computer performance, and numerical computation have made data mining methods easier to implement on the large data sets and in business-centric tasks.
A look at modern big data science systems and how you can use EXASOL's in-memory database for Data Science.
Our world is increasingly fuelled by data – an unparalleled amount of data, to be precise. More information is available today than at any other point in human history, and all of that data has value, particularly to businesses, organizations and government agencies. Data makes the world go round today. However, getting at that data and actually putting it to use can be difficult. Moreover, not all information has value, depending on the needs of the user. A means to identify, catalogue, collate and extract useful data from the sea of other information was necessary – data science.