Research on Optimization of Association Rules Mining Algorithm. Issue 4 (August 2019)
- Record Type:
- Journal Article
- Title:
- Research on Optimization of Association Rules Mining Algorithm. Issue 4 (August 2019)
- Main Title:
- Research on Optimization of Association Rules Mining Algorithm
- Authors:
- Li, Ningning
Lu, Zhaoxia - Abstract:
- Abstract: The association rules mining algorithm is always one of the specialists most concerned topics in the research of database knowledge. It is widely used in many fields in society. This article is based on association rule mining algorithm to put forward the relevant strategies for the majorization to make the mining algorithm get better application. With the development of the society, social information becomes richer and richer, people also become more and more interested in the unknown world. Sustainably improve the automation and intelligentization of the tools for processing information can continually improve the abilities in many ways and get more useful information from the huge database. So the appearance of the data mining makes it possible. It can fetch some hidden, unknown and useful information and knowledge from the huge practical application data. And the association rule is a main mode in research of data mining. It can fetch target data by finding the dependency between fields of a given condition from different data fields. As a result, the optimization of association rules mining algorithm is of quite importance in fetching target data.
- Is Part Of:
- Journal of physics. Volume 1302:Issue 4(2019)
- Journal:
- Journal of physics
- Issue:
- Volume 1302:Issue 4(2019)
- Issue Display:
- Volume 1302, Issue 4 (2019)
- Year:
- 2019
- Volume:
- 1302
- Issue:
- 4
- Issue Sort Value:
- 2019-1302-0004-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-08
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1302/4/042033 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11852.xml