Ontotext

NOVEMBER 22, 2024

Introduction Research published in academic journals plays a crucial role in improving drug discovery by revealing new biological targets, mechanisms, and treatment strategies. It offers a comprehensive suite of features designed to streamline research and discovery.

Knowledge Discovery 52

Knowledge Discovery Visualization Data-driven Data Processing 52

Ontotext

MARCH 13, 2024

We envisioned harnessing the power of our products to elevate our entire content publishing process, thereby facilitating in-depth knowledge exploration. OTKG models information about Ontotext, combined with content produced by different teams inside the organization. What is OTKG?

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. We describe experiment designs which have proven effective for us and discuss the subtleties of trying to generalize the results via modeling.

Modeling 63

Modeling Experimentation Knowledge Discovery Testing 63

Ontotext

JULY 29, 2021

One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases. The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

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

The Unofficial Google Data Science Blog

JULY 22, 2020

Companies like Google [2], Amazon [3], and Microsoft [4] have all published scholarly articles on this topic. In practice, one may want to use more complex models to make these estimates. For example, one may want to use a model that can pool the epoch estimates with each other via hierarchical modeling (a.k.a.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Morgan Kaufmann Publishers Inc. Data mining for direct marketing: Problems and solutions.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136