no-2

An efficient algorithm for mining high utility itemsets

Authors:
Thủy Nguyễn Thi Thanh
Pages:
100
View:
229
Position:
6/6
Download:
128
High utility itemsets (HUIs) mining is the finding of itemsets that satisfy a user-defined minimum utility threshold. Many successful studies in this field have been carried out, however they are all reliant on Tidset techniques, which records the intersection of transactions in a data structure. This paper presents the DCHUIM algorithm which mines the high utility itemset based on the Diffset techniques. Essentially, this mechanism stores the subtraction set of transactions rather than the intersection set. In order to achieve this, a DUL data structure is proposed to store utilities information and subtraction transactions of an itemset. Furthermore, the algorithm also applies pruning strategies such as U-Prune, EUCS-Prune and the concept of closed utility to effectively compress data. Thus, in the mining process, the search space is greatly diminished. Experiment on large datasets including Accidents, Mushroom, Retail, Chainstore and compare the performance of DCHUIM algorithm with...
High utility itemsets (HUIs) mining is the finding of itemsets that satisfy a user-defined minimum utility threshold. Many successful studies in this field have been carried out, however they are all reliant on Tidset techniques, which records the intersection of transactions in a data structure. This paper presents the DCHUIM algorithm which mines the high utility itemset based on the Diffset techniques. Essentially, this mechanism stores the subtraction set of transactions rather than the intersection set. In order to achieve this, a DUL data structure is proposed to store utilities information and subtraction transactions of an itemset. Furthermore, the algorithm also applies pruning strategies such as U-Prune, EUCS-Prune and the concept of closed utility to effectively compress data. Thus, in the mining process, the search space is greatly diminished. Experiment on large datasets including Accidents, Mushroom, Retail, Chainstore and compare the performance of DCHUIM algorithm with HMiner algorithm. The findings indicate that the DCHUIM method outperforms the HMiner algorithm in terms of memory utilization across all databases and outperforms it in terms of time on sparse databases.
Relate
Antimicrobial resistance in Streptococcus agalactiae in tilapia (Oreochromis sp.) farming in Northern Vietnam
Hanh Truong Thi My, Hanh Nguyen Thi, May Le Thi, Vinh Truong Thi Thanh, Lua Dang Thi
Volume 53, Issue 2A, 04/2024
Developing a medical device structures that support remote monitoring for cardiovascular patients
Tran Hien Thi, Dao Hang Thi, Phi Pham Van
Volume 53, Issue 2A, 04/2024
Distribution of Epinephelus epistictus (Temminck and Schlegel, 1843) (Perciformes: Epinephelidae) in the coastal areas of North Central, Vietnam
Hoang Hoàng Ngọc Thảo Ngoc, Truc Le Tran Ngoc, Anh Hoang Ngoc Thao, Linh Tran Thi Khanh, Quy Le Thi, Thu Trinh Thi
Volume 53, Issue 2A, 04/2024
Network community detection based on improving vertex coordinates
Trung Lai Van, Nguyễn Giang Thị Thanh
Volume 53, Issue 2A, 04/2024
Impact of rare earth oxides on the structure and electrical properties of ZnO-Bi2O3−based varistor ceramics: a comparative analysis of Y2O3 and CeO2
Huy Nguyen Trung, Nguyen Trang Văn, Hong Cao Thi, Xuyen Nguyen Thi, Anh Vo Thi Kieu, Dương Nguyen Quang, Anh Nguyen Tuan, Quang Le Dang, Tham Do Quang
Volume 53, Issue 2A, 04/2024

Vinh University journal of science

Tạp chí khoa học Trường Đại học Vinh

ISSN: 1859 - 2228

Governing body: Vinh University

  • Address: 182 Le Duan - Vinh City - Nghe An province
  • Phone: (+84) 238.3855.452 - Fax: (+84) 238.3855.269
  • Email: vinhuni@vinhuni.edu.vn
  • Website: https://vinhuni.edu.vn

 

License: 163/GP-BTTTT issued by the Minister of Information and Communications on May 10, 2023

Open Access License: Creative Commons CC BY NC 4.0

 

CONTACT

Editor-in-Chief: Assoc. Prof., Dr. Tran Ba Tien
Email: tientb@vinhuni.edu.vn

Deputy editor-in-chief: Dr. Phan Van Tien
Email: vantientkxd@vinhuni.edu.vn

Sub-Editor: Dr. Do Mai Trang
Email: domaitrang@vinhuni.edu.vn

Editorial assistant: Msc. Le Tuan Dung, Dr. Le Thanh Nga

  • Address: 4th Floor, Executive Building, No. 182, Le Duan street, Vinh city, Nghe An province.
  • Phone: (+84) 238-385-6700 | Hotline: (+84) 97-385-6700
  • Email: editors@vujs.vn
  • Website: https://vujs.vn

img