Association rule mining for building book recommendation system in online public access catalog

Santi Mariana, Isti Surjandari Prajitno, Arian Dhini, Asma Rosyidah, Puteri Prameswari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Improvement in service quality in Online Public Access Catalog (OPAC) of Universitas Indonesia's library is required due to its increasing use. Book recommendation system is one of the efforts that is conducted by Universitas Indonesia to improve it by providing related books the user may need. Thus, it is required to know how the books correlation is. This research uses data mining to process numerous data by using association analysis in loan records. It is able to find interesting relationship in a large set of data. In this research, there are two approaches in association analysis used to mine the association rules namely frequent itemset mining and infrequent itemset mining. Each approach is applied through an algorithm and both have showed its own results. Then, these results are evaluated and compared to find best rules to be input of book recommendation system.

Original languageEnglish
Title of host publicationProceeding - 2017 3rd International Conference on Science in Information Technology
Subtitle of host publicationTheory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
EditorsRafal Drezewski, Goutam Chakraborty, Shah Nazir, Lala Septem Riza, Ummi Raba'ah Hashim, Aji Prasetyo Wibawa, Yaya Wihardi, Andri Pranolo, Enjun Junaeti, Shi-Jinn Horng, Heui Seok Lim, Leonel Hernandez
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages246-250
Number of pages5
ISBN (Electronic)9781509058662
DOIs
Publication statusPublished - 12 Jan 2018
Event3rd International Conference on Science in Information Technology, ICSITech 2017 - Bandung, Indonesia
Duration: 25 Oct 201726 Oct 2017

Publication series

NameProceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
Volume2018-January

Conference

Conference3rd International Conference on Science in Information Technology, ICSITech 2017
CountryIndonesia
CityBandung
Period25/10/1726/10/17

Keywords

  • apriori
  • apriori inverse
  • association rule mining
  • book recommendation system
  • data mining

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