Data cleaning is the process of detecting and repairing inaccurate or corrupt records in the data. Data cleaning is inherently human-driven and state of the art systems assume cleaning experts can access the data to tune the cleaning process. However, in sensitive datasets, like electronic medical records, privacy constraints disallow unfettered access to the data. To address this challenge, we...

Early pipeline milking systems were commonly flooded during cleaning. Flood cleaning is practical for systems with small diameter milklines, short pipelines and few milking units. Flood cleaning becomes impractical as milkline diameter and length and the number of milking units is increased. Excessive water volume is required and the flow velocities and corresponding mechanical cleaning action ...

We present a domain independent platform for data cleaning developed as part of the Data Cleaning project at Microsoft Research. Our platform consists of a set of core primitives and design tools that allow a programmer to develop sophisticated data cleaning solutions with minimal programming effort. Our primitives are designed to allow rich domain and application specific customizations and ca...

Plasma cleaning of solid surfaces is one of the hot topics of the very fast developing field of plasma treatment of materials. Plasma cleaning has been implemented already in several industries such as semiconductor processing and microchip fabrication, metallurgy, the optical industry, dentistry, medical technologies, food packaging – to name just the most important areas. Understanding the ba...

The Log-structured File System (LFS) transforms random writes to a huge sequential one to provide superior write performance on storage devices. However, LFS inherently suffers from overhead incurred by cleaning segments. Specifically, when file system utilization is high and the system is busy, write performance of LFS degenerates significantly due to high cleaning cost. Also, in the newer fla...