Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining
An important aspect in the data mining process is the discovery of patterns having a great influence on the studied problem. The purpose of this paper is to study the frequent episodes data mining through the use of parallel pattern discovery algorithms. Parallel pattern discovery algorithms offer b...
Main Author: | Alexandru PIRJAN |
---|---|
Format: | Article |
Language: | English |
Published: |
Inforec Association
2010-01-01
|
Series: | Informatică economică |
Subjects: | |
Online Access: | http://revistaie.ase.ro/content/55/2005%20-%20Alexandru%20Pirjan.pdf |
Similar Items
-
Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units
by: Ion LUNGU, et al.
Published: (2012-01-01) -
A Distributed Algorithm for Fast Mining Frequent Patterns in Limited and Varying Network Bandwidth Environments
by: Chun-Cheng Lin, et al.
Published: (2019-05-01) -
New approaches to weighted frequent pattern mining
by: Yun, Unil
Published: (2007) -
IIS-Mine: A new efficient method for mining frequent itemsets
by: Supatra Sahaphong
Published: (2012-04-01) -
Efficient frequent pattern mining from big data and its applications
by: Jiang, Fan
Published: (2017)