ISSN: 1683-3198
|
e-ISSN: 2309-4524
|
DOI: 10.34028/iajit
Submit your Paper
Track your Paper
The International Arab Journal of Information Technology
(IAJIT)
Home
Aims and Scopes
About IAJIT
Current Issue
Archives
Submission
Indexing
Announcement
Contact Us
Home
/
Search for: frequent item sets
Editorial Board
Technical Committee
Instruction to Authors
Article Processing Charges
Submit your Paper
Track your Paper
Instructions to Reviewers
Review Paper
Statistics
An Efficient Approach for Mining Frequent Item
1Division of Data Science, Ton Duc Thang University, Vietnam 2Faculty of Information Technology, Ton Duc Thang University, Vietnam 3Faculty of Technology, Pacific Ocean University, Vietnam 4Department of Computer Science and Information Engineering,
#Data mining
# frequent item sets
# incremental mining
# pre-large item sets
# item set-tidset tree
All Rights reserved to IAJIT 2024
Powered by:
TurnPoint