Title
MOAManager: A tool to support data stream experiments
Abstract
This short communication describes Massive Online Analysis Manager Hypertext Preprocessor framework (MOAManager), an open-source web tool that assists in the creation, execution, extraction, and formatting of experiments in online environments using the MOA framework. MOAManager also brings together a set of features for data analysis, including the calculation of metrics and statistical tests for performance evaluation. The purpose of the tool is to provide a structure that automates several repetitive experimental steps, helping the users to customize, run, and analyze the experiments quickly and reliably, enabling gains in productivity.
Year
DOI
Venue
2020
10.1002/spe.2795
SOFTWARE-PRACTICE & EXPERIENCE
Keywords
Field
DocType
concept drift,online learning,performance analysis,PHP,statistical analysis,tool
Online learning,Systems engineering,Computer science,Data stream,Petroleum engineering,Concept drift,Statistical analysis
Journal
Volume
Issue
ISSN
50.0
4.0
0038-0644
Citations 
PageRank 
References 
0
0.34
0
Authors
3