Fuzheng Liu Examines Transformer-XL Modeling of E-Commerce User Behavior and Real-Time Behavioral Analysis

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...
BMJ Global Health

Clustering of countries based on national essential medicines lists: cross-sectional study

Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
IEEE

Robust k-Means-Type Clustering for Noisy Data

Abstract: Data clustering is a fundamental machine learning task that seeks to categorize a dataset into homogeneous groups. However, real data usually contain noise, which poses significant ...
IEEE

K-Means and Alternative Clustering Methods in Modern Power Systems

Abstract: As power systems evolve by integrating renewable energy sources, distributed generation, and electric vehicles, the complexity of managing these systems increases. With the increase in data ...
www.cs.utexas.edu

Graclus software

Graclus (latest: Version 1.2) is a fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. This is possible ...
The Marshall Project

How We Cleaned Up and Clarified Federal Data on Deaths in Custody

Under the terms of the Death in Custody Reporting Act, the Justice Department is required to collect information about everyone who dies in prisons and jails across the United States. The intention ...
Investopedia

Predictive Modeling: Techniques, Uses, and Key Takeaways

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Jared Ecker is a researcher and fact-checker ...
Hacker

Music & ML: Clustering on Spotify Audio Features

Excited about solving real-world problems through data. Music surrounds us every day. It sets us up, motivates us, and even enhances cognitive performance. Fast rhythmic beats can boost our energy, ...
Analytics Insight

Most Important AI Algorithms for Beginners in 2025

As we progress into 2025, Artificial Intelligence (AI) continues to reshape industries and revolutionize how we interact with technology. For those starting their journey in AI, it’s essential to ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
Visual Studio Magazine

K-Means Data Clustering from Scratch Using C#

K-means is comparatively simple and works well with large datasets, but it assumes clusters are circular/spherical in shape, so it can only find simple cluster geometries. Data clustering is the ...