ACRL announces the publication of Text and Data Mining Literacy for Librarians, edited by Whitney Kramer, Iliana Burgos, and Evan Muzzall, demonstrating how academic libraries are supporting TDM ...

Video surveillance is crucial for various applications, including unmanned aerial vehicle operations, flight safety monitoring, social security management, industrial safety, and criminal detection.

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

Periodic pattern mining, a branch of data mining, is expanding to provide insight into the occurrence behavior of large volumes of data. Recently, a variety of industries, including fraud detection, ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

In the digital age, where data is often referred to as the "new oil," the ability to extract meaningful insights from massive datasets has become a cornerstone of innovation. Data mining—the process ...

Abstract: Educational Data Mining (EDM) is the application of data mining methods in the educational domain. In the EDM field, we see mixed data (i.e., text and number data types). Grouping or ...

# Reporting the number of cereals in each cluster (1 and 2) num_cereals_cluster1 = (cluster_labels == 0).sum() num_cereals_cluster2 = (cluster_labels == 1).sum ...