NDLI: LibEDM: A Platform for Ensemble Based Data Mining

Content Provider	IEEE Xplore Digital Library
Author	Zhao, Qiangli Jiang, Yanhuang
Copyright Year	2014
Abstract	Compared to single classifiers, ensemble learning offers significant and stable performance improvement, while ensemble pruning can improve efficiency and performance of the ensembles further, so both of them are hot topics, not only in traditional machine learning but also in recent data stream mining scopes. Aiming to provide a uniform platform and framework for developing and evaluating ensemble based data mining techniques, LibEDM, an open-source library developed in C++ programming language, is presented, which can also work as a toolkit to solve real-world problems. LibEDM is highly modularized with simple interfaces, making it easy to extend and user-friendly. LibEDM contains popular methods for single classifiers, ensemble learning, stream-based ensemble and ensemble pruning. It also provides representative functions for data preprocessing and classifier evaluating, such as cross-validation and statistical tests, etc. By using LibEDM, researchers and developers can implement, evaluate, compare and apply ensemble techniques with much less effort than before.
Starting Page	1250
Ending Page	1253
File Size	198817
Page Count	4
File Format	PDF
e-ISBN	9781479942749
DOI	10.1109/ICDMW.2014.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training ensemble learning data stream mining C++ toolkit Support vector machine classification Prediction algorithms Libraries Classification algorithms Data mining Bagging ensemble pruning
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

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