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Knowledge Discovery Related Topics 
Ontotext
MARCH 4, 2020
Pharma has deep roots in human history with centuries of folk pharmaceutical knowledge offering a hit-and-miss range of natural remedies. From this processed data a knowledge graph (KG) is created.
KDnuggets
FEBRUARY 15, 2022
Public understanding of AI applications usually goes through a phase shift, from "it cannot be done" to "of course, a computer can do it". KDnuggets Originals Data Science
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Ontotext
APRIL 4, 2019
We apply Artificial Intelligence techniques to understand the value locked in this data so we can extract knowledge that can benefit people. Milena Yankova : Our work is focused on helping companies make sense of their own knowledge. Some of this knowledge is locked and the company cannot access it. into structured knowledge that can be processed by machines. ” Then this knowledge can be downloaded from the network. Source: Economy.bg.
DataFloq
FEBRUARY 10, 2021
Business Analytics synergizes the strengths of various sciences including data mining, knowledge discovery, machine learning, pattern recognition, statistics, neurocomputing, and artificial intelligence. Business Analytics has evolved a lot. Business Analytics was designed for addressing the need for deriving intelligence out of ‘data’, which is nowadays referred to affectionately by many as the ‘crude oil’ or ‘gold ore’ of modern times.
Data Science 101
DECEMBER 11, 2019
This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Topics of interest include artificial intelligence, big data, data analytics, data science, data mining, deep learning, knowledge graphs, machine learning, relational databases and statistical methods.
KDnuggets
DECEMBER 12, 2019
ACM SIGKDD Invites Industry and Academic Experts to Submit Advancements in Data Mining, Knowledge Discovery and Machine Learning for 26 th Annual Conference in San Diego. 2019 Dec Events Applications CA KDD KDD-2020 Research San Diego
DataFloq
AUGUST 18, 2019
Creating new knowledge is an intuitive human endeavour and it brings value and change to individuals, companies and society by shedding light the patterns, practices, inconsistencies and paradoxes in the observed world. Knowledge creates a competitive advantage for organisations and corporations because researching existing problems triggers learning episodes and helps to identify resolutions.
Ontotext
MAY 17, 2020
These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. And this is what Ontotext’s role in the project is about: knowledge graphs. Blog Business ExaMode knowledge graph supercomputer
datapine
NOVEMBER 19, 2019
Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward. One of the most imperative features of social BI is its ability to create self-served and user-generated analysis, coupled with the application of business user knowledge. It also facilitates BI tool user adoption, allowing the organization to share knowledge and resources.
Ontotext
AUGUST 26, 2021
This post continues the series of posts we started with At Center Stage: 2 Ontotext Webinars About Reasoning with Big Knowledge Graphs and Power of Graph Analytics. Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes.
Ontotext
APRIL 27, 2021
The richness of data, if it can be discovered, enables the discovery of novel therapies, causal relationships or, just as important, retrieving existing negative results so that the company doesn’t spend millions of dollars to discover what is already known not to work.
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. In daily work, when business develops to a relatively large scale, we will all face variable management problems.
Smart Data Collective
MARCH 13, 2020
Phase 4: Knowledge Discovery. My aim with any notebook is to enable someone to pick it up without any prior knowledge of the project and fully understand the analysis, decisions made and what the final output means,” Osborne explains.
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Ontotext
JULY 28, 2021
The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. What can it do and how are enterprise knowledge graphs related to it?
Ontotext
FEBRUARY 17, 2022
But no system, even such a highly mature RDF database for knowledge graphs as ours, is an island. The very first post of this series presented two knowledge graph maps with 20+ applications and 30+ capabilities. Knowledge Graphs: 5 Use Cases and 10 Steps to Get There.
Ontotext
FEBRUARY 19, 2020
The term “knowledge graph” (KG) has been gaining popularity for quite a while now. Although there is still no single, universally accepted definition, there have been various attempts at it – such as in Towards a Definition of Knowledge Graphs.
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.
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. Semantic technology is a broad technological term that covers specific technological approaches, principles and methodologies for managing data and knowledge. This will lay solid foundations for the rest of the work necessary for implementing a full, working knowledge graph solution.
Domino Data Lab
JULY 31, 2021
Conference on Knowledge Discovery and Data Mining, pp. In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model.
Ontotext
DECEMBER 30, 2019
As 2019 comes to an end, we at Ontotext are taking stock of the most fascinating things we have done to empower knowledge management and knowledge discovery this year. Here’s our countdown: It Takes Two to Tango: Knowledge Graphs and Text Analysis.
Ontotext
AUGUST 19, 2020
To ensure the metadata extracted is of high-quality, Ontotext uses knowledge graphs to increase the performance of its text analysis services. The text analysis is also able to identify gaps in the knowledge graph such as concepts and relationships previously unidentified.
Domino Data Lab
MAY 20, 2021
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed.
Ontotext
SEPTEMBER 14, 2020
Knowledge Graphs are the Warp and Weft of a Data Fabric. Given a critical mass of domain knowledge and good level of connectivity, KG can serve as context that helps computers comprehend and manipulate data. Ontotext’s Platform for Enterprise Knowledge Graphs.
The Unofficial Google Data Science Blog
JULY 22, 2020
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
Domino Data Lab
DECEMBER 4, 2020
The openness of the Domino Data Science platform allows us to use any language, tool, and framework while providing reproducibility, compute elasticity, knowledge discovery, and governance.
Ontotext
OCTOBER 28, 2021
In our previous post, we covered the basics of how the Ontotext and metaphacts joint solution based on GraphDB and metaphactory helps customers accelerate their knowledge graph journey and generate value from it in a matter of days. Building a Knowledge Graph Application with metaphactory.
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). Domain Knowledge. The foremost step of this process is to possess relevant domain knowledge regarding the problem at hand. To anyone looking at a large pile of data, it may seem like a collection of junk unless the person has the background knowledge and information about the business.
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. Semantic technology is a broad technological term that covers specific technological approaches, principles and methodologies for managing data and knowledge. This will lay solid foundations for the rest of the work necessary for implementing a full, working knowledge graph solution.
Domino Data Lab
JUNE 15, 2021
The data science team grows and people can’t work in isolation anymore – they need to be able to share knowledge, handover projects, and have validation and reproducibility capabilities at their disposal.
The Unofficial Google Data Science Blog
OCTOBER 7, 2015
This knowledge has influenced our decision-making way beyond the concrete cases we studied in detail. We use this knowledge to define objective functions to optimize our ads system with a view towards the long-term. 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]
datapine
NOVEMBER 19, 2019
Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward. One of the most imperative features of social BI is its ability to create self-served and user-generated analysis, coupled with the application of business user knowledge. It also facilitates BI tool user adoption, allowing the organization to share knowledge and resources.
The Unofficial Google Data Science Blog
JANUARY 14, 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, DCby AMIR NAJMI Running live experiments on large-scale online services (LSOS) is an important aspect of data science.
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] by OMKAR MURALIDHARAN Many machine learning applications have some kind of regression at their core, so understanding large-scale regression systems is important. But doing this can be hard, for reasons not typically encountered in problems with smaller or less critical regression systems.
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, DCby AMIR NAJMI In the previous post we looked at how large scale online services (LSOS) must contend with the high coefficient of variation (CV) of the observations of particular interest to them.
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