FineReport

JULY 16, 2021

It is a process of using knowledge discovery tools to mine previously unknown and potentially useful knowledge. It is an active method of automatic discovery. Data Visualization. Data visualization can reflect business operations intuitively. Free Download.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Ontotext

FEBRUARY 19, 2020

Today, as the number of decision-makers recognizing the importance of more dynamic, contextually aware and intelligent information architectures is growing, so is the number of companies with solutions based on knowledge graphs. Yet, the concept of knowledge graphs still lives without an agreed-upon description or shared understanding.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

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. Again, the overall aim is to extract knowledge from data and, through algorithms based on artificial intelligence, to assist medical professionals in routine diagnostics processes.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Ontotext

AUGUST 31, 2023

Knowledge graphs are large networks of entities representing real-world objects, like people and organizations, and abstract concepts, like professions and topics, and their semantic relations and attributes. An ontology enriches data within a knowledge graph with context and meaning that humans and computers can interpret.

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64

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. Using machine readable definitions, it creates a highly interconnected data object that delivers high value and meaning as well. How to Get a Semantic Edge?

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Yet, the biggest challenge for risk analysis continues to suffer from lack of a scalable way of understanding how data is interrelated.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 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