An Efficient Method for Mining Closed Potential High-Utility Itemsets

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE Access Jg. 8; S. 31813 - 31822
Hauptverfasser: Bay Vo, Loan T. T. Nguyen, Nguyen Bui, Trinh Duy Nguyen, Van‐Nam Huynh, Tzung-Pei Hong
Format: Journal Article
Sprache:Japanisch
Veröffentlicht: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2020
Schlagworte:
Algorithm
Artificial intelligence
closed high-utility itemset
Closure (psychology)
Clustering Algorithms
Computational Theory and Mathematics
Computer science
Computer security
Data compression
Data mining
Data Mining Techniques and Applications
Database transaction
Economics
Electrical engineering. Electronics. Nuclear engineering
Epistemology
FOS: Computer and information sciences
FOS: Law
FOS: Philosophy, ethics and religion
FOS: Political science
Handling Imbalanced Data in Classification Problems
High Utility Itemsets
high-utility itemset
Information Systems
Key (lock)
knowledge discovery
Law
Lossless compression
Market economy
Operating system
Philosophy
Physical Sciences
Political science
Politics
Probabilistic Databases
Probabilistic logic
Process (computing)
Property (philosophy)
Representation (politics)
Rough Sets Theory and Applications
Temporal Data Mining
TK1-9971
Trajectory Data Mining
Uncertain database
ISSN:2169-3536
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
ISSN:2169-3536
DOI:10.1109/access.2020.2974104