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Cypher was originally intended to be used with the graph database Neo4j, but was opened up through the openCypher project in October 2015. [ 3 ] The language was designed with the power and capability of SQL (standard query language for the relational database model ) in mind, but Cypher was based on the components and needs of a database built ...
Neo4j is a graph database management system (GDBMS) developed by Neo4j Inc. The data elements Neo4j stores are nodes, edges connecting them, and attributes of nodes ...
VMD visualization of a 1-billion atom aerosolized SARS-CoV-2 virion, rendered with Tachyon on a workstation with 1TB RAM. Visual Molecular Dynamics (VMD) is a molecular modelling and visualization computer program. [2] VMD is developed mainly as a tool to view and analyze the results of molecular dynamics simulations.
Gremlin is an Apache2-licensed graph traversal language that can be used by graph system vendors. There are typically two types of graph system vendors: OLTP graph databases and OLAP graph processors.
The grand tour is a technique originally developed by Daniel Asimov 1980–85, which is used to explore multivariate statistical data by means of an animation. The animation, or "movie", consists of a series of distinct views of the data as seen from different directions, displayed on a computer screen, that appear to change continuously and that get closer and closer to all possible views.
Ansel Adams wrote about visualization in photography, defining it as "the ability to anticipate a finished image before making the exposure.” [2] The term previsualization has been attributed to Minor White, who divided visualization into previsualization, what occurs while studying the subject, and postvisualization, how the visualized image is rendered at printing.
Flow visualization is the art of making flow patterns visible. Most fluids (air, water, etc.) are transparent, thus their flow patterns are invisible to the naked eye without methods to make them this visible.
Self-organizing maps, like most artificial neural networks, operate in two modes: training and mapping. First, training uses an input data set (the "input space") to generate a lower-dimensional representation of the input data (the "map space").