NDLI: DiMaC: a disguised missing data cleaning tool

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DiMaC: a disguised missing data cleaning tool

Content Provider	ACM Digital Library
Author	Hua, Ming Pei, Jian
Abstract	In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially valid data values. Such missing values are known as disguised missing data, which may impair the quality of data analysis severely. The very limited previous studies on cleaning disguised missing data highly rely on domain background knowledge in specific applications and may not work well for the cases where the disguise values are inliers. Recently, we have studied the problem of cleaning disguised missing data systematically, and proposed an effective heuristic approach [2]. In this paper, we present a demonstration of DiMaC, a Disguised Missing Data Cleaning tool which can find the frequently used disguise values in data sets without any domain background knowledge. In this demo, we will show (1) the critical techniques of finding suspicious disguise values; (2) the architecture and user interface of DiMaC system; (3) an empirical case study on both real and synthetic data sets, which verifies the effectiveness and the efficiency of the techniques; and (4) some challenges arising from real applications and several direction for future work.
Starting Page	1077
Ending Page	1080
Page Count	4
File Format	PDF
ISBN	9781605581934
DOI	10.1145/1401890.1402023
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-08-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Data cleaning Data quality Disguised missing data
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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