NDLI: Web-Based Knowledge Acquisition to Impute Missing Values for Classification

Content Provider	ACM Digital Library
Author	Tang, Na Vemuri, V. Rao
Abstract	Machine learning is the science of building predictors from data while accounting for the predictor's accuracy on future data. Many machine learning classifiers can make accurate predictions when the data is complete. In the presence of insufficient data, statistical methods can be applied to fill in a few missing items. But these methods rely only on the available data to calculate the missing values and perform poorly if the percentage of missing values exceeds a threshold. An alternative is to fill in the missing data by an automated knowledge discovery process via mining the WWW. This novel procedure is applied by first restoring missing information and next learning the parameters of the classifier from the restored data. Using a Bayesian network as a classifier, the parameters, i.e., the probabilities associated with the causal relationships in the network, are deduced using the knowledge mined from the WWW in conjunction with the data available on hand. The method, when tested with heart disease data sets from the UC Irvine Machine Learning Repository [UCI repository of machine learning databases], gave satisfactory results.
Starting Page	124
Ending Page	130
Page Count	7
File Format	PDF
ISBN	0769521002
DOI	10.1109/WI.2004.163
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2004-09-20
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Web-Based Knowledge Acquisition to Impute Missing Values for Classification