Computer science paper classification for csar

Jiahui Quan, Qing Li, Minglu Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

When researchers or students entering a new research field in computer science, they desire to know who the top scientists are and what the best papers are in this field, then they know to find whom to collaborate with or can find best papers in this area to read. In order to divide different research fields, it is very important to correctly classify all the papers in computer science. In this paper, we propose CSAR classification system derived from 2012 ACM Computing Classification System (CCS), and also propose a new weighted naive Bayes classifier to classify the papers in top publications by their research fields. The experiments show that the performance of proposed weighted naive Bayes classifier is better than the unweighted naive Bayes classifier and overwhelms the results of k-NN classifier.

Original languageEnglish
Title of host publicationNew Horizons in Web Based Learning - ICWL 2014 International Workshops SPeL, PRASAE, IWMPL, OBIE and KMEL, FET, Revised Selected Papers
EditorsTerje Väljataga, Jeff K.T. Tang, Yiwei Cao, Mart Laanpere, Howard Leung
PublisherSpringer-Verlag
Pages34-43
Number of pages10
ISBN (Electronic)9783319132952
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event7th International Workshop on Social and Personal Computing for Web-Supported Learning Communities, SPeL 2014, 1st International Workshop on Peer-Review, Peer-Assessment, and Self-Assessment in Education, PRASAE 2014, 2014 International Workshop on Mobile and Personalized Learning, IWMPL 2014, 1st International Workshop on Open Badges in Education, OBIE 2014, 4th International Symposium on Knowledge Management & E-Learning, KMEL 2014 and Future of e-Textbooks Workshop, FeT 2014 in held with 13th International Conference on Web-based Learning, ICWL 2014 - Tallinn, Estonia
Duration: 14 Aug 201417 Aug 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8699
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Workshop on Social and Personal Computing for Web-Supported Learning Communities, SPeL 2014, 1st International Workshop on Peer-Review, Peer-Assessment, and Self-Assessment in Education, PRASAE 2014, 2014 International Workshop on Mobile and Personalized Learning, IWMPL 2014, 1st International Workshop on Open Badges in Education, OBIE 2014, 4th International Symposium on Knowledge Management & E-Learning, KMEL 2014 and Future of e-Textbooks Workshop, FeT 2014 in held with 13th International Conference on Web-based Learning, ICWL 2014
Country/TerritoryEstonia
CityTallinn
Period14/08/1417/08/14

Keywords

  • Academic information platform
  • CSAR classification system
  • Text classification
  • Weighted naive Bayes classifier

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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