Ontotext

MAY 18, 2020

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. Exascale computing refers to systems capable of at least one exaFLOPS calculation per second and that is billion billion (or if you wish a quintillion) operations per second.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

FineReport

DECEMBER 19, 2019

Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. At the same time, it also advocates visual exploratory analysis.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Ontotext

AUGUST 22, 2023

Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of random information. As a result it turns them into the type of data that can be managed programmatically while containing all the agreed upon meanings for human reference.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Ontotext

AUGUST 31, 2023

What makes a knowledge graph a unique and powerful data solution is the semantic (data) model, or ontology , that is part of it. We use the terms semantic model, semantic data model and ontology interchangeably to refer to formal and explicit definitions of the concepts and relations within a domain.

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64

Ontotext

OCTOBER 28, 2021

This post looks at a specific clinical trial scoping example, powered by a knowledge graph that we have built for the EU funded project FROCKG , where both Ontotext and metaphacts are partners. Although there are already established reference datasets in some domains (e.g. Visual Ontology Modeling With metaphactory.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Data Science 101

OCTOBER 31, 2019

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). The patterns discovered after this step are interpreted using various visualization and reporting techniques and are made comprehensible for other team members to understand. Deployment.

Data mining 77

Data mining KDD Data Science Forecasting 77

Domino Data Lab

AUGUST 1, 2021

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Partial Dependence Plot is another visual method, which is model agnostic and can be successfully used to gain insights into the inner workings of a black-box model like a deep ANN. References. Partial Dependence Plots (PDPs).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139