@inproceedings{055f2638cad04ee4b242c5eadcb6dbe5,
title = "Association rule mining for building book recommendation system in online public access catalog",
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.",
keywords = "apriori, apriori inverse, association rule mining, book recommendation system, data mining",
author = "Santi Mariana and Prajitno, {Isti Surjandari} and Arian Dhini and Asma Rosyidah and Puteri Prameswari",
year = "2018",
month = jan,
day = "12",
doi = "10.1109/ICSITech.2017.8257119",
language = "English",
series = "Proceeding - 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",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "246--250",
editor = "Rafal Drezewski and Goutam Chakraborty and Shah Nazir and Riza, {Lala Septem} and Hashim, {Ummi Raba'ah} and Wibawa, {Aji Prasetyo} and Yaya Wihardi and Andri Pranolo and Enjun Junaeti and Shi-Jinn Horng and Lim, {Heui Seok} and Leonel Hernandez",
booktitle = "Proceeding - 2017 3rd International Conference on Science in Information Technology",
address = "United States",
note = "3rd International Conference on Science in Information Technology, ICSITech 2017 ; Conference date: 25-10-2017 Through 26-10-2017",
}