NDLI: Marine Fishing Ground Prediction Based on Bayesian Decision Tree Model

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Marine Fishing Ground Prediction Based on Bayesian Decision Tree Model

Content Provider	ACM Digital Library
Author	Zhu, Jingwen Zhang, Chao Xu, Jing Gao, Ya
Abstract	The fisheries economy has become the focus of China's economic development in recent years. Improving the prediction accuracy of fishing ground is of great benefit to the growth of fisheries economy. Naive Bayes and decision tree algorithms are widely used due to their high classification performance and simplicity. Naive Bayes model has a stable classification efficiency and is less sensitive to missing data. J48 decision tree model has high accuracy, and the classification rules are easy to understand. However, both models have their own limitations in classification problems. Therefore, NBDT-J48 model based on Naive Bayes and J48 decision tree is designed in this paper. This model weakens the attribute independence assumption of Naive Bayes and makes up for the limitations of J48 decision tree in ignoring missing data. The experimental results show that the NBDT-J48 model achieves higher model accuracy than the other two models. Therefore, this model is suitable for the prediction of fishing ground. It has a good effect on handling data with missing attribute values and ambiguous relationship between attributes.
Starting Page	316
Ending Page	320
Page Count	5
File Format	PDF
ISBN	9781450348348
DOI	10.1145/3034950.3034985
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-01-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Bayesian decision tree Fishing ground prediction J48 decision tree Naive bayes
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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