Open AccessResearch on Distributed Vertical Frequent Pattern Mining Method Based on Metadata Integration
Author(s) -
Li Sun,
Li Guo,
Hua Tian
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1449/1/012062
Subject(s) - metadata , computer science , process (computing) , data element , meta data services , metadata repository , data science , metadata management , data mining , information retrieval , database , world wide web , operating system
In order to better integrate the information industry into people’s life and work, and even in social development, how to mine data has become a hot issue. Metadata is a kind of data about data. Mining metadata helps data application and storage. Therefore, it is very important to find an efficient and intelligent data mining method. This paper introduces the metadata and its integration technology. On this basis, it introduces the distributed vertical frequent mode, and introduces its use in the process of mining metadata, providing a new working idea for the staff engaged in related industries.