Data cleaning is a crucial yet challenging task in data analysis, often requiring significant manual effort. To automate data cleaning, previous systems have relied on statistical rules derived from ...

The Federal Government has commenced a comprehensive personnel audit and skills gap analysis across Ministries, Departments and Agencies (MDAs) as part of efforts to strengthen data integrity, improve ...

A rendering shows the future Prometheus Hyperscale data center near Evanston, Wyo. It takes up a quarter-mile in front of the Uinta Mountains on the Wyoming-Utah border. The company plans to build ...

The Envi Link, Thailand’s national environmental data platform, plays a vital role in improving air quality, quality of life, and long-term sustainability in Chiang Mai province. Envi Link is a ...

For decades, America’s voter roll maintenance system has been running on fumes. It still relies on tools like the Postal Service’s National Change of Address database and the Social Security Death ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Lisa Stiffler on Oct 9, 2025 at 6:00 ...

Cybersecurity researchers have discovered two new malicious packages in the Python Package Index (PyPI) repository that are designed to deliver a remote access trojan called SilentSync on Windows ...

Wisconsin's approved data center projects may consume more energy than all households in the state combined, according to an analysis from environmental advocacy organization Clean Wisconsin. The ...

An analysis suggests two Wisconsin data centers could use more energy than all the state's homes combined. The estimate assumes constant power demand, so actual usage may be lower. Three other ...

The average U.S. household now has 21 different devices connected to the internet, enabling everything from computers and cell phones to smart lighting and appliances. Beyond personal uses, ...

Abstract: Data cleaning, also known as data cleansing or data scrubbing, is the process of identifying and correcting errors, inconsistencies, and inaccuracies in datasets. It is a crucial step in ...