NDLI: Improved C4.5 decision tree algorithm based on sample selection

Content Provider	IEEE Xplore Digital Library
Author	Fucai Chen Xiaowei Li Lixiong Liu
Copyright Year	2013
Description	Author affiliation: China Nat. Digital Switching Syst. Eng. Technol. R&D Center, Zhengzhou, China (Fucai Chen; Xiaowei Li; Lixiong Liu)
Abstract	To improve the classification accuracy and reduce the training time of large sample, and find the best training set, this paper proposes the improved C4.5 decision tree algorithm based on sample selection. The algorithm is based on the fact that decision tree can only get local optimal solution and has the bigger relativity with initial sample. In sample selection, we use iteration process to find the best training set. Using accuracy of the selected sample training as iteration Information is highly optimized for general use. Partition similarity is used for the best selection as the standard. Experiments show that the accuracy and time consumption of the proposed algorithm, aiming at classification and identification of large sample data, is better than C4.5 decision tree.
Starting Page	779
Ending Page	782
File Size	672583
Page Count	4
File Format	PDF
ISBN	9781467349970
ISSN	23270594
e-ISBN	9781467350006
DOI	10.1109/ICSESS.2013.6615421
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Partition similarity Sample selection C4.5 decision tree IP networks
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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