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

IBM Big Data Hub

APRIL 15, 2024

Various initiatives to create a knowledge graph of these systems have been only partially successful due to the depth of legacy knowledge, incomplete documentation and technical debt incurred over decades. IBM also developed an accelerator for context-aware feature engineering in the industrial domain.

Manufacturing 92

Manufacturing Contextual Data Knowledge Discovery Data Lake 92

Ontotext

FEBRUARY 19, 2020

Start delivering the answers to your original questions through different knowledge discovery tools such as SPARQL queries, semantic search, faceted search, data visualization, etc. The steps we have described in this blog post are a solid way to define a project and make the most of building a knowledge graph.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

Ontotext

AUGUST 3, 2023

Buildings That Almost Think For Themselves About Their Occupants The first paper we are very excited to talk about is Knowledge Discovery Approach to Understand Occupant Experience in Cross-Domain Semantic Digital Twins by Alex Donkers, Bauke de Vries and Dujuan Yang.

Knowledge Discovery 52

Knowledge Discovery Broadcasting Technology Publishing 52

Ontotext

AUGUST 15, 2019

But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs. Some of that journey has been recorded in a previous blog post. What This Training Is.

Knowledge Discovery 70

Knowledge Discovery Technology Metadata Interactive 70

Domino Data Lab

MAY 20, 2021

In this blog post we talked about why working with imbalanced datasets is typically problematic, and covered the internals of SMOTE – a go-to technique for up-sampling minority classes. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. 30(2–3), 195–215. link] Ling, C.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

In this blog post, we summarize that paper and refer you to it for details. References [1] Henning Hohnhold, Deirdre O'Brien, Diane Tang, Focus on the Long-Term: It's better for Users and Business , Proceedings 21st Conference on Knowledge Discovery and Data Mining, 2015. [2] 2] Ron Kohavi, Randal M.

Modeling 63

Modeling Experimentation Knowledge Discovery Testing 63

Ontotext

AUGUST 26, 2021

The second Ontotext webinar Graph Analytics on Company Data and News focuses on the power of cognitive graph analytics to create links between various datasets and to lead to powerful knowledge discovery. That covers the 2 Ontotext webinars we wanted to draw your attention to in this blog post.

Knowledge Discovery 52

Knowledge Discovery Analytics Enterprise Optimization 52

Ontotext

JULY 29, 2021

We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. Ontotext was founded in 2000 with the Semantic Web in its genes and we had the chance to be part of the community of its pioneers. We can’t imagine looking at the Semantic Web as an artifact.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

APRIL 6, 2023

To Wrap It Up Knowledge graphs play a vital role in connecting the data from siloed legacy systems and platforms, enabling seamless data sharing, knowledge discovery and analytics. This can lead to operational cost cutting and improve competitiveness.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

The Unofficial Google Data Science Blog

JULY 22, 2020

Although this blog post makes some specific points about changing assignment weights in an A/B experiment, there is a more general takeaway as well. Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. Henne, and Dan Sommerfield. 2] Scott, Steven L. 2015): 37-45. [3] 2015): 37-45.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Domino Data Lab

JUNE 15, 2021

In this blog post we’ll focus on the UDF capabilities provided by the two platforms. We also covered the process of setting up credentials and creating the initial connection in a previous blog post. In this blog post we covered some of the key advantages of the Domino – Snowflake UDF integration. Why Snowflake UDFs.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

Ontotext

AUGUST 19, 2020

Faster and easier knowledge discovery has obvious cost benefits and reduces duplication of effort. Without metadata, the chances of finding anything you are looking for are near nil. Finding what you need through file structures on our personal computers is bad enough, never mind an enterprise-wide ICT.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

Ontotext

SEPTEMBER 15, 2020

Start delivering the answers to your original questions through different knowledge discovery tools such as powerful SPARQL queries, easy to use GraphQL interface, semantic search, faceted search, data visualization, etc. It is also better interconnected, which brings more content and enables deeper analytics.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

AUGUST 16, 2019

But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs. Some of that journey has been recorded in a previous blog post. What This Training Is.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40

Ontotext

AUGUST 22, 2023

Semantically integrated data makes metadata meaningful, allowing for better interpretation, improved search, and enhanced knowledge-discovery processes. Semantic metadata provides this by allowing a higher level of abstraction where deeper understanding of the data relationships is achieved.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Ontotext

DECEMBER 1, 2023

Krasimira touched upon the ways knowledge graphs can harness unstructured data and enhance it with semantic metadata. She also shared the architecture behind the vision of building useful semantic search, valuable insights platform, and powerful knowledge discovery environment.

Metadata 78

Metadata Sales Machine Learning Consulting 78

TDAN

JUNE 15, 2022

“Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. And he has a point. Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. As the amount of data generated […].

Data mining 98

Data mining Big Data Forecasting Marketing 98

Ontotext

AUGUST 10, 2023

They make this possible by adding domain knowledge that puts your organization’s data in context and enables its interpretation. Adding context and semantic consistency to the data, improves knowledge discovery, business analytics, and decision-making.

Technology 52

Technology Knowledge Discovery Interactive 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. Linked Data, subscriptions, purchased datasets, etc.).

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

OCTOBER 28, 2021

Knowledge discovery is one of the core strengths of metaphactory as it enables the creation of UIs that provide a user specific and tailored view on the knowledge graph.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

The Unofficial Google Data Science Blog

JANUARY 14, 2016

At Google, we have invested heavily in making our estimates of uncertainty evermore accurate (see our blog post on Poisson Bootstrap for an example). The practical consequence of this is that we can’t afford to be sloppy about measuring statistical significance and confidence intervals.

Experimentation 42

Experimentation Statistics Metrics Measurement 42

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

Brendan McMahan et al, "Ad Click Prediction: a View from the Trenches" , Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013. [3] 3] Bradley Efron, "Robbins, Empirical Bayes, and Microarrays" , Technical Report, 2003. [4]

KDD 40

KDD Testing Machine Learning Measurement 40

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

References [1] Diane Tang, Ashish Agarwal, Deirdre O’Brien, Mike Meyer, “ Overlapping Experiment Infrastructure: More, Better, Faster Experimentation ”, Proceedings 16th Conference on Knowledge Discovery and Data Mining, Washington, DC

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Ontotext

FEBRUARY 21, 2024

In this blog post, we dive into the capabilities of Ontotext’s semantic technology products and solutions that facilitate NLQ. Check out our NLQ with LangChain blog post for more ideas. The post Enhancing Knowledge Discovery: Implementing Retrieval Augmented Generation with Ontotext Technologies appeared first on Ontotext.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

Domino Data Lab

AUGUST 1, 2021

Conference on Knowledge Discovery and Data Mining, pp. The post Explaining black-box models using attribute importance, PDPs, and LIME appeared first on Data Science Blog by Domino. Ribeiro, M. Guestrin, C., Why should I trust you?: Explaining the predictions of any classifier , Proceedings of the 22nd ACM SIGKDD International.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Ontotext

AUGUST 31, 2023

The added contextual richness promotes comprehensive analysis and knowledge creation and sharing that was previously unachievable. We cover the topic of vocabulary in a previous blog post , defining it as: A collection of terms organized in a (hierarchical) classification scheme. Unlock the full potential of your data!

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

Ontotext

NOVEMBER 11, 2024

Knowledge graphs expressed in RDF provide this as well as numerous applications in data and information-heavy services. Examples include intelligent content, packaging, and reuse; responsive and contextually aware content recommendation; automated knowledge discovery; semantic search; and intelligent agents.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

Ontotext

AUGUST 21, 2024

As a result, contextualized information and graph technologies are gaining in popularity among analysts and businesses due to their ability to positively affect knowledge discovery and decision-making processes.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52