CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Building a System based on Intelligent Agencies for Assisting in Classification and Circulation of Books and Periodicals Automatically

by M. E. ElAlami, Hosnia M. M. Ahmed, Mahy E. Elemam
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 9
Year of Publication: 2019
Authors: M. E. ElAlami, Hosnia M. M. Ahmed, Mahy E. Elemam
10.5120/ijca2019918803

M. E. ElAlami, Hosnia M. M. Ahmed, Mahy E. Elemam . Building a System based on Intelligent Agencies for Assisting in Classification and Circulation of Books and Periodicals Automatically. International Journal of Computer Applications. 178, 9 ( May 2019), 22-30. DOI=10.5120/ijca2019918803

@article{ 10.5120/ijca2019918803,
author = { M. E. ElAlami, Hosnia M. M. Ahmed, Mahy E. Elemam },
title = { Building a System based on Intelligent Agencies for Assisting in Classification and Circulation of Books and Periodicals Automatically },
journal = { International Journal of Computer Applications },
issue_date = { May 2019 },
volume = { 178 },
number = { 9 },
month = { May },
year = { 2019 },
issn = { 0975-8887 },
pages = { 22-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number9/30559-2019918803/ },
doi = { 10.5120/ijca2019918803 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:49:55.940262+05:30
%A M. E. ElAlami
%A Hosnia M. M. Ahmed
%A Mahy E. Elemam
%T Building a System based on Intelligent Agencies for Assisting in Classification and Circulation of Books and Periodicals Automatically
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 9
%P 22-30
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an intelligent system to assist librarians in classification and circulation of books and periodicals. The system is based on a database containing the categories of scientific departments in the Faculty of Specific Education. It is also contains knowledge base that includes most of the words related to these categories. The Distance Vector Classifier Engine is used for text pre-processing classification. K-Nearest Neighbor algorithm and Term Frequency – Inverses Document Frequency are used for classification books and periodicals. The proposed system has achieved accuracy reached to 94.3%.

References
  1. Dewa Gede Hendra Divayana, I Made Sugiarta ,et.al (2015),"Digital Library of Expert System Based at Indonesia Technology University", International Journal of Advanced Research in Artificial Intelligence, Vol. 4, No.3.
  2. Cabonero, David A. and Dolendo, Russell B., (2013). "Cataloging and Classification Skills of Library and Information Science Practitioners in their Workplaces: A Case Analysis" Library Philosophy and Practice (e-journal). PP.958- 960.
  3. Guo Pengfei,Du Liangxian,Qi Junxia (2012) , "ALibrary Book Intelligence Classification System based on Multi-agent " ,PP .2187 – 2193.
  4. Fadaie Araghi, Gholamreza (2004). "A New Scheme for Library Classification. Cataloging & Classification Quarterly", Vol. 38, PP. 75-99.
  5. SUMAN (S) and KARMARKAR (Debanshu). (2002) "The role of library classification in organizing the web". In Workshop on information resource management. PP . 1-3.
  6. Mohammed Abbas Kadhim . et .al (2016 ), " A Multi-intelligent Agent System for Automatic Construction of Rule-based Expert System " ,Vol. 9,PP. 62-68.
  7. Sholom, W., Nitin, I., Tong, Z., Fred , D. (2005),"Text mining: predictive methods for analyzing unstructured information" , New York , Springer.
  8. Shufeng Chen (2017), "K-Nearest Neighbor Algorithm Optimization in Text Categorization" , IOP Conf. Series: Earth and Environmental ScienceVol.108.
  9. S.N. Bharath Bhushan *, Ajit Danti (2018), "Classification of compressed and uncompressed text documents" , Future Generation Computer Systems , Vol. 88 ,PP. 614–623.
  10. Lianbao Yang ,et.al (2018), "Intelligent classification model for railway signal equipment fault based on SMOTE and ensemble learning" , IOP Conf. Series: Materials Science and Engineering ,Vol. 383
  11. Jorge Gonzalez-Lopez ,et .al (2018), "Distributed nearest neighbor classification for large-scale multi-label data on spark" , Future Generation Computer Systems ,Vol. 87 ,PP. 66–82.
  12. Syukriyanto Latif ,et.al (2018)," Content Abstract Classification Using Naive Bayes" , Journal of Physics: Conf. Series 979.
  13. June-Jei Kuo (2014) ," An Automatic Library Data Classification System Using Layer Structure and Voting Strategy" , Springer International Publishing Switzerland , LNCS 8839, PP. 279–287,
  14. Guo Pengfei,et.al (2012) ," The Application of Semantics Web in Digital Library Knowledge Management" , International Conference on Applied Physics and Industrial Engineering ,vol. 24 ,PP. 2180 – 2186.
  15. Xindong Wu · Vipin Kumar · J. Ross Quinlan · Joydeep Ghosh (2008) , "Top 10 algorithms in data mining", Knowl Inf Syst , Vol. 14, PP. 1–37
  16. Sadegh Bafandeh Imandoust And Mohammad Bolandraftar ,(2013), "A k-Nearest Neighbor Based Algorithm for Multi-label Classification ",Journal of Engineering Research and Applications , Vol. 3, Issue 5, PP.605-610.
  17. Boris Neubert, Sören Pirk,et .al (2010) , "Precision and Recall as Appearance Space Quality Measure for Simplified Aggregate Details", Eurographics Symposium on Rendering.
  18. David M.W. Powers,(2014)," What the F-measure doesn'measure",https://www.researchgate.net/publication/273761 233_What_the_Fmeasure_doesn%27t_measure.,available at date .10/5/2018 , time.12.50 PM.
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligent Intelligent Systems Text mining Classification of Books

Powered by PhDFocusTM