Data Cleaning

Informatics Computational processing to remove noise and artifacts from digital data before storage
Trials The resolving of errors and inconsistencies related to entry and transcription of clinical trial data, which is generally easier with electronic cleaning
Mentioned in ?
References in periodicals archive ?
WIPO is pleased to invite you to submit a proposal related to a Project of Digitization and Data Cleaning of the Intellectual Property Database of the Department of Intellectual Property of Lao People s Democratic Republic (PDR),
The data cleaning exercise had brought down annual cellular mobile tele-density from a peak of 76.
Data cleaning (Vijayashri Losarwar, 2012) is the process of removing noisy and irrelevant data that are not helpful for mining the knowledge from the web logs.
In those case studies, students will learn how to apply data cleaning, visualization, and other exploratory data analysis tools to a variety of real-world complex data.
The third paper on RFID data cleaning reduces uncertainty of RFID data streams cleaning.
These new capabilities are designed to enable users to identify and remove outliers and perform other common data cleaning tasks, all within the MarketSight platform.
Data cleaning, the manual process of correcting spelling or adding missing data to each case was then completed.
Zhang, Zhang and Yang indicated that "in practice, it has been generally found that data cleaning and preparation takes approximately 80% of the total data engineering effort" (Zhang et al.
Let's look at the process of data cleaning next time.
The EASE system has 17 integrated components, including a scoring environment that facilitates faster, more efficient test scoring; a workflow interface for assessment processing that assists in managing the scoring process; OSC's proprietary Closed End Mark Sense Processing software; and embedded data cleaning, formatting and reporting C-type programming language that allows for user customization.
Data cleaning process is used to determine inaccurate, incomplete, or unreasonable data and then to improve the quality through correction of detected errors and elimination [JA, 00], [REH, 00], [MTH+, 99].
The process of detecting and removing database defects and duplicates is referred to as data cleaning.