Publication:
Commercial Communication Data Fusion Analysis

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Authors
Das, Arijit
Subjects
Deception
Data Fusion
Confusion Matrix
AIS
Satcom
Radio
Database
Data Wrangling
SQL
Hadoop
Analytics
Artificial Intelligence
Machine Learning.
Advisors
Date of Issue
2023-03
Date
March 2023
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
Tracking of shipping activity is possible via data available in open-source public domain servers. The study looks at computer science based technologies using Python language programming libraries to curate the data to build a machine learning model using the WEKA application, for ship type classification.
Type
Technical Report
Description
Series/Report No
Department
Computer Science (CS)
Other Units
Naval Postgraduate School
Identifiers
NPS Report Number
NPS-CS-23-003
Sponsors
Naval Postgraduate School, Naval Research Program; N2/N6 Office of Naval Intelligence; Naval Undersea Warfare Development Center
Funder
Naval Postgraduate School, Naval Research Program (PE 0605853N/2098).
Format
38 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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