NDLI: Research on energy-efficient text classification

Content Provider	IEEE Xplore Digital Library
Author	Hao Lin
Copyright Year	2014
Description	Author affiliation: Sch. of Software, Shanghai Jiao Tong Univ., Shanghai, China (Hao Lin)
Abstract	People rely on data mining techniques like text categorization more and more to explore valuable information, due to the ever-increasing electronic documents produced. Although the energy consumed by text categorization increases with the data, people usually pay attention to its effectiveness and there is little research about its energy cost. In this paper, we evaluate the energy cost of different classifiers and reduce energy cost by parallelization, trying to find a classifier that performs best on both aspects - effectiveness and efficiency. Several classifiers are obtained by using existing libraries or implementing classification algorithms. Comprehensive experiments on three real datasets show that an improved version of Naive Bayes can have competitive precision compared to SVM while has low energy costs. Parallelization can further reduce its energy cost by a factor of 10 for RCV1 dataset.
Starting Page	257
Ending Page	261
File Size	164204
Page Count	5
File Format	PDF
e-ISBN	9781479952991
DOI	10.1109/ICITEC.2014.7105614
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Computers Performance evaluation Text categorization Energy measurement Estimation Parallel processing Green computing Libraries Classification algorithms
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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